embracing the ai revolutioN...In 2019 and 2020, we will be EMBRACING THE AI REVOLUTION. Based on an...

Updated 01/04/2019

EMBRACING THE AI REVOLUTION

APPG AI PROGRAMME 2019 - 2020

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Partners: Our Group supporters – Accenture, Blue Prism, British Standards Institution, CMS Cameron

McKenna Nabarro Olswang, Creative England, Deloitte, Ernst and Young, KPMG, Megger

Group Limited, Microsoft, Osborne Clarke, PwC, and Rialto – enable us to raise the ambition of

what we can achieve.

Secretariat:

Big Innovation Centre | 8th floor Penthouse, 20 Victoria Street, London SW1H 0NF

Telephone +44 (0)20 3713 4036 | Mobile +44 (0)7944783648

Web www.appg-ai.org

Key Persons: Prof. Birgitte Andersen (CEO & Co-Creator) and Niki Iliadis (Innovation & Policy

Foresight Manager)

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A society empowered to seize the benefits of AI and protected

against potential risks.

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Contents Partners: .............................................................................................................................................. 1

Secretariat: .......................................................................................................................................... 1

1. Overview ............................................................................................................................ 5

Figure 1: APPG AI Pillars 2019 - 2020 .............................................................................................. 5

1.1 Call for Task Force Members ......................................................................................................... 5

Figure 2: APPG AI Vision and Outputs 2019 - 2020 ......................................................................... 6

1.2 Education (Pillar 1) ......................................................................................................................... 7

Figure 3: Education Activities and Output ....................................................................................... 7

1.3 Enterprise Adoption of AI (Pillar 2) ................................................................................................ 9

Figure 4: Enterprise Adoption of AI Activities and Output .............................................................. 9

1.4 Citizen Participation (Pillar 3) ......................................................................................................11

Figure 5: Citizen Participation Activities and Output ....................................................................11

1.5 Data Governance (Pillar 4) ...........................................................................................................13

Figure 6: Data Governance Activities and Output .........................................................................13

2. Governance and Task Forces ....................................................................................... 15

Figure 7: APPG AI Structure ...........................................................................................................15

2.1 APPG AI Officers ...........................................................................................................................15

Figure 8: List of APPG AI Officers ...................................................................................................15

2.2 Parliamentary Members ..............................................................................................................16

Figure 9.1: List of Parliamentary Members – House of Commons ................................................16

Figure 9.2: List of Parliamentary Members – House of Lords .......................................................16

2.3 Secretariat ....................................................................................................................................17

Figure 10: List of Secretariat ..........................................................................................................17

2.4 Permanent Advisory Board ..........................................................................................................18

Figure 11: List of Permanent Advisory Board Members ...............................................................18

2.5 Expert Advisers ............................................................................................................................19

Figure 12: List of Expert Advisers *to be updated for 2019-2020 .................................................19

2.6 Task Forces ...................................................................................................................................20

Figure 13: Task Force Responsibilities and Output .......................................................................20

3. Activities .......................................................................................................................... 21

3.1 Parliamentary Evidence Meetings ...............................................................................................21

Figure 14: Evidence Meetings in 2019 ...........................................................................................21

Figure 15: Evidence Meetings in 2020 ...........................................................................................23

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3.2 Dinners .........................................................................................................................................25

Figure 16: Pillar Dinners 2019 ........................................................................................................25

Figure 17: Pillar Dinners 2020 ........................................................................................................25

3.3 Advisory Board Meetings .............................................................................................................26

Figure 18: Advisory Board Meetings..............................................................................................26

3.4 Receptions ...................................................................................................................................27

Figure 19: Receptions 2019 ...........................................................................................................27

Figure 20: Receptions 2020 ...........................................................................................................27

4. Output .............................................................................................................................. 28

4.1 AI Parliamentary Briefs ................................................................................................................28

4.2 AI Pillar Protocols .........................................................................................................................28

Figure 21: Education Protocol Example .........................................................................................29

Figure 22: Enterprise Adoption of AI Protocol Example ................................................................30

Figure 23: Citizen Participation Protocol Example ........................................................................31

Figure 24: Data Governance Protocol Example .............................................................................32

4.3 Video Recordings of Parliamentary Evidence Meetings ..............................................................33

4.4 ‘AI 101’ Course and Lesson Plan ..................................................................................................33

4.5 Organisational Transformation Awards & Showcases ................................................................33

4.6 Protocol Public Surveys................................................................................................................33

5. Sponsorship .................................................................................................................... 34

Figure 25: General Sponsorship Package ......................................................................................34

6. Timetable ......................................................................................................................... 35

Figure 26: APPG AI 2019 Key Dates ...............................................................................................35

Figure 27: APPG AI 2020 Key Dates ...............................................................................................36

Figure 28: APPG AI 2019 Timeline .................................................................................................38

Figure 29: APPG AI 2020 Timeline (*dates to be confirmed) ........................................................38

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1. Overview

The All-Party Parliamentary Group on Artificial Intelligence (APPG AI) was set up in January 2017 with

the aim to explore the impact and implications of Artificial Intelligence.

APPG AI is co-chaired by Stephen Metcalfe MP and Lord Clement-Jones CBE. Big Innovation Centre

is appointed the Group’s Secretariat.

We spent the first two years understanding key economic and socio-ethical implications and we are

now ready to take action.

In 2019 and 2020, we will be EMBRACING THE AI REVOLUTION. Based on an evaluation of

the evidence we have already gathered, our work will focus on four pillars.

Figure 1: APPG AI Pillars 2019 - 2020

All four pillars will aim towards the same long-term vision:

A SOCIETY EMPOWERED TO SEIZE THE BENEFITS OF AI AND PROTECTED

AGAINST POTENTIAL RISKS.

1.1 Call for Task Force Members

Eager to move the conversation forward to tangible (and impactful) output, we are now creating Task

Forces of individuals with the relevant expertise/capacity needed to drive forward the pillar

activities and outputs.

If interested in joining one of the four APPG AI Task Forces, you will be helping the Officers, the

Secretariat, and the Advisory Board achieve all of our objectives - ensuring AI is a force for good in the

UK and internationally.

Applications for participation should be sent to the Big Innovation Centre.

For more information, please see Section 2.6 and the Terms of Reference on the Big Innovation Centre

website: https://www.appg-ai.org/evidence/task-force-terms-of-reference/

EducationEnterprise

Adoption of AICitizen

ParticipationData

Governance

Figure 2: APPG AI Vision and Outputs 2019 - 2020

Our Vision The Four Pillars

Activities

Output

All Party Parliamentary

Group on

Artificial Intelligence

(APPG AI)

A s

ocie

ty e

mp

ow

ere

d to

se

ize

th

e b

en

efits

of A

I a

nd

pro

tecte

d a

ga

inst

po

ten

tial ri

sks.

Education

(Pillar 1)

14 Parliamentary Evidence

Meetings

■

6 Dinners

■

8

Advisory Board Meetings

■ 4

Receptions

AI Parliamentary Briefs

■

AI Pillar Protocols

■

Video Recordings of Parliamentary Evidence Meetings

■

‘AI 101’ Course and Lesson Plan (Education Pillar)

■

Organisational Transformation Awards & Showcase (Enterprise Adoption of AI Pillar)

■

Protocol Public Surveys (Citizen Participation Pillar)

Enterprise Adoption of AI

(Pillar 2)

Citizen Participation

(Pillar 3)

Data Governance (Pillar 4)

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1.2 Education (Pillar 1)

Our evidence has shown that education is at the heart of both the opportunities and the risks in the

narratives forming around AI.

AI’s impact on our education system has the potential to be revolutionary. With AI, every child across

the world can have access to personalised learning that is active, authentic, and cooperative. However,

at the same time, the introduction of AI in our society is challenging whether our current education

systems are fit for the unfolding transformations. Are our children being equipped with the skills they

will need in their futures? Can passive learners survive in a world of uncertainty and agility? Do we have

the proper infrastructure, data governance, and oversight to ensure our children are not manipulated

growing up?

The APPG AI Education Pillar will aim to tackle some of these questions over the next two years. We

will focus on how AI can be used as a tool to improve learning, what skills we need to prioritise as a

society, how school curriculums need to transform, and what the role of ethics in education should be.

Figure 3: Education Activities and Output

EDUCATION PILLAR

Type 2019 2020

Parliamentary Evidence Meetings (EM) *see Pages 21-25 for number code

EDUCATION TOOL (EM2) Incorporating AI technologies within learning environments

• How can AI be used as a ‘tool’ in different learning environments and across diverse subjects?

• What is the effect on the student experience? What is the effect on a teacher?

• How can it impact assessment?

SKILLS (EM5) Equipping children with the skillsets they will need in their futures

• What skills will our children need to survive and thrive as employees and as citizens?

• How can we ensure a broad and diverse skillset?

CURRICULUM (EM9) Embedding AI in learning curriculums

• What are the practical steps of embedding AI into curriculums?

• How should AI be introduced to different age groups?

• What should school curriculum (content, materials, aims and learning objectives) look like in a world of AI?

ETHICS (EM10) Learning AI ethical implications

• Should AI’s ethical implications be taught in schools? If so, how?

• How can education ensure all AI developers and users become ethical AI citizens?

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• How should various stakeholders address current skills shortages?

• How can we ensure that AI is adopted ethically in education?

Stakeholder Dinners

An Education System Fit for Today Understanding investment priorities and the need to re-engineer learning

Can AI be an Educator’s Wish Come True? Unpacking how AI can completely transform assessment

Receptions

Big Innovation Centre Spring Party AI Christmas Reception


Education Protocols

Protocols on how learning environments should think forward about AI adoption – setting fit for purpose policies supporting those aims

• We will consider the purpose of applying AI in various education modules (from English, math and science to art, technology, music and sport), and what the ethical, safety and trust-based considerations are regarding the AI applications within education? What makes AI solutions in education sustainable and scalable? What impact will they have for all teachers, students, education productivity, and future employees or even for doing homework?

• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within education to achieve the learning objectives?); service excellence (how well does an AI-solution serve the student?) and product excellence (what is a good quality tool?)

‘AI 101’ Course and Lesson Plans

AI lesson plan explaining what AI is, its various use cases, as well as some of the key socio-ethical implications. The lesson plan will be created for MPs to use across schools in their constituencies. It will be presented in a Parliamentary workshop in which Members from the House of Commons and the House of Lords will be briefed on the key AI policy implications.


A brief for MPS, providing them with an overview of each evidence meeting, written evidence submitted by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.


Video Recordings published on the APPG AI website following each evidence meeting

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1.3 Enterprise Adoption of AI (Pillar 2)

Enterprise adoption of AI is steadily growing as more and more companies realise the opportunities that

AI offers. However, there are still many barriers that companies need to overcome to ensure they get

adoption and implementation right.

Barriers range from financial obstacles to employee backlash to lack of data infrastructure. A gap

separating the companies with the capacity to roll out such a large transformation and those that do not

has started to form. Additionally, the negative reaction of replacing a large workforce could arguably

outweigh quick adoption despite its increased efficiency. Lastly, many companies lack the data needed

to adopt and implement AI programmes.

The Enterprise Adoption of AI Pillar will help identify these barriers and explore how to break them

down. Furthermore, the pillar will focus on the need to transform organisations and the changing

relationship between businesses and their customers.

Figure 4: Enterprise Adoption of AI Activities and Output

ENTERPRISE ADOPTION OF AI PILLAR

Type 2019 2020


IMPLEMENTATION (EM3) Breaking barriers to AI adoption and understanding industry differences

• What are the biggest obstacles preventing enterprise from adopting AI?

• Do the barriers differ based on industry and/or size?

• How can Government help break these barriers? What is the role of regulatory bodies?

TRANSFORMING ORGANISATIONS (EM6) Changing organisational models, reskilling employees, and rethinking leadership

• How do organisational models and cultures become more agile to deal with the changes AI brings?

• What is the role of a leader in today’s era? What does it

BUSINESS TO CUSTOMER (EM10)

• How does AI transform the business to customer transaction? What does the transformation mean for the relationship (from efficiency, to trust and social capital)?

• To what extent is AI enabling better market relationships, what are we losing, and what are the risks?

• What obligations do businesses have to customers when transactions are made via AI applications?

PRODUCTIVITY (EM13) Using AI to boost productivity and drive down inefficiencies

• What infrastructure does an organisation need to successfully adopt AI?

• How is AI being used by enterprise to improve productivity?

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mean to lead an organisation of humans and machines?

• How do organisations reskill and upskill their employees?

• Who within an organisation is responsible for adopting AI to drive productivity?

Stakeholder Dinners

Post-Brexit 4.0 Identifying opportunities, risks, and best practices for sustainable innovation after Brexit

Leadership in an AI World Unpacking what it means to be a leader in an AI society

Receptions



Enterprise Adoption of AI Protocols

Protocols on how business environments should think forward about AI adoption - setting fit for purpose policies supporting those aim

• We will consider the purpose of applying AI in various business sectors, and what the ethical, safety and trust-based considerations are regarding such AI applications? What makes the AI solutions in businesses sustainable and scalable? What impact will they have for leaders, workers, productivity, and other.

• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within a business practice to achieve certain outcomes?); service excellence (how well does an AI-solution serve the workers doing the jobs?) and product excellence (what is a good quality tool?)

Protocols on how business to customer relationship should think forward about the use of AI in their transactional relationship – setting fit for purpose policies supporting those aims

• We will consider the purpose of applying AI in various business to customer relationships, and what the ethical, safety and trust-based considerations are regarding AI applications within such relationships? What makes the AI solutions in business to customer relationships sustainable and scalable? What impact will they have on businesses, customers, productivity, and other.

• We will consider “what does good looks like with respect to operational, service and product excellence in business to customer relationships.

Organisational Transformation Awards & Showcase

Cross-industry competition showcasing how organisations are transforming in the age of AI. Categories include: case studies of successful retraining programmes, policies to promote diverse teams, examples of incentivising broad skills and lifelong learning, etc.


A brief for MPS, providing them with an overview of each evidence meeting, written evidence by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.



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1.4 Citizen Participation (Pillar 3)

As AI is impacting all of us – regardless of demographics, industry, discipline, or region - it is absolutely

critical to engage a diverse set of voices in the discussions around AI governance. AI technologies do

indeed promise us many opportunities on a national, social, and individual level; but these AI

technologies also have complications and hazards.

The wider society needs to know these – both the opportunities and the risks. We need to engage

citizens in the conversations around what AI is, what it is not, how it is being used, what is its potential,

and what are its implications. Ultimately, AI should be developed and deployed based on the values of

society, as articulated through a deliberative and inclusive dialogue between experts and citizens.

Once citizens are aware of AI and its consequences however, they will be empowered to engage in

making decisions around it. The Citizen Participation Pillar will aim to do just that. First, it will explore

ways to build AI public awareness and, second, it will promote diverse and inclusive engagement in the

discussions around AI governance. Helping citizens understand AI’s impact in each of their daily lives,

this pillar will hope to make AI something of today and not the future. Very important is to engage

perspectives from different backgrounds, ages, races, disciplines, and regions in these discussions —

as no one is just a beneficiary, but essential actors in finding solutions to the critical AI issues faced by

the world today.

Figure 5: Citizen Participation Activities and Output

CITIZEN PARTICIPATION PILLAR

Type 2019 2020


DIVERSITY (EM4) Ensuring a diverse set of voices shape our tomorrow

• Which demographics are underrepresented in AI?

• Does AI reinforce or narrow inequality gaps?

• What are the practical steps of ensuring decision-making around AI is inclusive and diverse?

AI & ME (EM7) Building awareness of how AI impacts the daily lives of individuals

• How do we get citizens to understand AI and its impact?

ENGAGEMENT (EM11) Promoting public engagement across sectors, industries, and regions

• How do we educate citizens to be drivers of AI utility and not passive bystanders?

• How can we use AI to remove barriers to achieve inclusive access?

• Should AI be on the top of the policy agenda? How do we get it there?

YOUTH (EM14) Empowering the youth and listening to their perspectives

• How is AI impacting our youth and their futures?

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• How has AI already changed the daily lives of individuals? What does AI mean for wellbeing?

• How is AI being implemented in homes? In transportation? In hospitals? In policy?

• How do we raise AI awareness amongst young people and encourage them to engage in the conversations happening around AI?

• What is the mechanism to ensure young people have a voice in how we respond to AI?

Stakeholder Dinners

It Takes a Village Mapping a diverse and cross-disciplinary ecosystem

Individual vs. the Collective Analysing the dynamics between individual and collective rights

Receptions



Citizen Participation Protocols

Protocols on how citizen participation could and should think forward about AI adoption - setting fit for purpose policies supporting those aims

• We will consider the purpose of applying AI in various citizen participation scenarios, and what the ethical, safety and trust-based considerations are regarding the AI applications within citizen participation? What makes the AI applications in citizen participation sustainable and scalable? What impact will they have for all citizens and decision makers, governors and policy makers?

• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within citizen participation to achieve improved processes; service excellence (how well does an AI-solution serve the citizen?) and product excellence (what is a good quality tool?)

Protocol Public Surveys

A series of public surveys encouraging the wider society to provide input for the AI protocols. Results will be presented at respective evidence meetings.


A brief for MPS, providing them with an overview of each evidence meeting, written evidence by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.



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1.5 Data Governance (Pillar 4)

It is impossible to think of AI and data in silos. Access to accurate and quality data is critical to make AI

work. In fact, it is argued that AI can only be as good as the data from which it draws interferences.

Hence, for society to reap the benefits of AI we need to ensure we have the right data structures and

governance mechanisms in place.

While personal data has become one of the driving forces of the AI revolution, the value it generates is

not fairly distributed. Organisations rely on the collection of personal data to build large datasets which

they use to feed into their AI systems. The output of these AI technologies bring about much profit,

however that value rarely trails down to the original source: the individual.

Issues like this raise questions on how data should be collected, used, and managed. Ultimately, a key

question has evolved around data ownership and user rights.

The Data Governance Pillar will explore the interrelationship of data governance and AI governance,

focusing on understanding how data used by AI systems is gathered and applied. Furthermore, it will

explore the concept of data ownership, especially in a context where the vast majority of data today is

generated by different players through a handful of technologies.

Figure 6: Data Governance Activities and Output

DATA GOVERNANCE PILLAR

Type 2019 2020


COLLECTION & USE (EM1) Raising awareness of how different players collect, manage, and use personal data

• How is data currently being collected and used by AI technologies, and is our data infrastructure fit for purpose?

• What is the proper way of seeking consent for using an individual’s data?

• Who should ultimately oversee the use of personal data for AI systems?

OWNERSHIP & RIGHTS (EM8) Implications of data ownership, privacy rights, and user rights

• What are the various models for data ownership and user-rights? Their strengths and weaknesses?

• How can individuals claim control over use of their personal data, or should they not be able to?

• Should we think of data as a commodity or as a ‘creative commons’ good that can deliver public value?

Receptions



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Data Governance Protocols

Protocols on data governance in an AI world where value is created through sharing personal and business data, and on how fit for purpose policies can support those aims

• We will consider the purpose of applying AI in various data sharing scenarios, and what the ethical, safety and trust-based considerations are regarding data governance? What makes data sharing solutions sustainable and scalable? What impact will effective data governance have for all citizens, businesses and society?

• We will consider “what does good looks like?” regarding operational excellence (how do we know when a data governance solution is good to operate within AI environments to achieve various objectives?); service excellence (how well does a data governance solution serve the customer and the citizen?) and product excellence (what is a good quality data governance form?)


A brief for MPS, providing them with an overview of each evidence meeting, written evidence submitted by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.



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2. Governance and Task Forces The APPG AI Governance is broken into four subgroups: the APPG AI Officers, the APPG AI

Secretariat, the APPG AI Permanent Advisory Board, and the APPG AI Expert Advisers. Pillar Task

Forces support these subgroups in delivering all activities and outputs.

Figure 7: APPG AI Structure

2.1 APPG AI Officers

The Officers include elected members from the House of Commons and House of Lords.

Figure 8: List of APPG AI Officers

STEPHEN

METCALFE MP Chair,

Conservative

LORD CLEMENT-

JONES Chair, Lib Dem

THE LORD BISHOP OF

OXFORD Treasurer, Bishops

CHRIS GREEN MP

Secretary, Conservative

JUSTIN MADDERS MP

Vice Chair, Labour

CAROL

MONAGHAN MP Vice Chair, SNP

BARONESS

MCGREGOR-SMITH

Vice Chair, Conservative

LORD HOLMES

Vice Chair, Conservative

MARK HENDRICK MP

Vice Chair, Labour

LORD

BROERS Vice Chair, Crossbench

LORD WILLETS Vice Chair,

Conservative

BARONESS

SUSAN KRAMER Vice Chair, Lib

Dem

LORD JANVRIN Vice Chair, Crossbench

Structure

Governance

APPG AI Officers

SecretariatPermanent

Advisory BoardExpert Advisers

Task Forces

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2.2 Parliamentary Members

Figure 9.1: List of Parliamentary Members – House of Commons

Democrat

Eleanor Smith MP,

Labour

Clive Efford MP, Labour

Jon Cruddas MP, Labour

Jo Swinson MP, Liberal Democrat

Mr Lee Rowley MP, Conservative

Dame Eleanor

Laing MP, Conservative

Ruth Cadbury MP, Labour

Patrick Grady MP, SNP

Layla Moran MP, Liberal Democrat

Rt Hon Liam Byrne MP,

Labour

Scott Mann MP,

Conservative

Alex Sobel MP, Labour

Anna McMorrin MP,

Labour

Darren Jones MP, Labour

Craig Tracey MP,

Conservative

Anna Turley MP, Labour

Figure 9.2: List of Parliamentary Members – House of Lords

The Earl of Erroll,

Crossbench

The Lord Haskel, Labour

Lord Richard Inglewood,

Non-affiliated

The Lord Wei, Conservative

The Baroness

Rock, Conservative

The Lord Fairfax of Cameron -

Conservative

The Earl of Glasgow,

Liberal Democrat

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2.3 Secretariat

Big Innovation Centre is appointed the Group’s Secretariat. The Secretariat is responsible for delivering

the programme for the APPG AI, organising the outputs, advocacy and outreach, and managing

stakeholder relationships and partnerships.

Figure 10: List of Secretariat

PROFESSOR BIRGITTE ANDERSEN

CEO & Co-Creator

NIKI ILIADIS Innovation & Policy Foresight Manager

ROXY IQBAL Global Brand &

Communciations Manager

DARREN IU Events and

Partnerships Coordinator

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2.4 Permanent Advisory Board

Representatives from our partner organisations sit on the Permanent Advisory Board.

Figure 11: List of Permanent Advisory Board Members

RUMMAN CHOWDHURY

Global Lead for Responsible AI,

Accenture

IAN WEST Director, Advisory

Services, Blue Prism

DR SCOTT STEEDMAN Director of

Standards (SP), BSI Group

CHARLES KERRIGAN

Partner, Banking & International

Finance Team, CMS

CAROLINE NORBURY

CEO, Creative England

MICHAEL HOWARD

Director Artificial Intelligence,

Deloitte

SARAH RENCH Artificial

Intelligence, Advanced Analytics

SHAMUS RAE Partner Head of

Digital Disruption, KPMG

JIM FAIRBAIRN CEO, Megger Group Limited

MICHAEL WIGNALL National

Technology Officer Microsoft UK

JOHN BUYERS Partner, Osborne

Clarke

ROB MCCARGOW Director of AI, PwC

RICHARD CHIUMENTO

Director, Rialto

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2.5 Expert Advisers

Ad-hoc advisers, who have made significant contributions in AI fields relevant to the group, are selected

to support in the development and delivery of the Group’s overall programme or specific working areas.

Figure 12: List of Expert Advisers *to be updated for 2019-2020

Name Profession Affiliation

Abhijit Akerkar Head of Delivery, Bank of Future Pilot Lloyds Banking Group

Andy Pardoe Top 30 Global Influencer on AI, Leadership Council

homeAI

Ankur Modi CEO Status Today

Blay Whitby Teaching Fellow in Computer Science (Informatics)

University of Sussex

Calum Chace Author 'The Economic Singularity: Artificial intelligence and the death of capitalism'

Christopher Bishop

Director MSR Cambridge Microsoft

Clive Gringas Head of Technology, Media and Telecommunications

CMS

Euan Cameron

UK AI Lead PwC

Joanna Bryson

Associate Professor, Department of Computer Science, University of Bath,

University of Bath & Princeton University

Justin Andersen

Director of Global Emerging Technology KPMG

Kay Firth - Butterfield

Head of AI and Machine Learning World Economic Forum

Krishna Sood Senior Attorney Microsoft

Margaret Boden

Research Professor of Cognitive Science (Informatics, Centre for Cognitive Science)

University of Sussex

Noel Sharkey Emeritus Professor of AI and Robotics, CoDirector Foundation for Responsible Robotics, Chair ICRAC, Public engagement

Sheffield University

Peter McOwan Professor of Computer Science

School of Electronic Engineering and Computer Science at Queen Mary, University of London

Richard Susskind

IT Adviser to the Lord Chief Justice, pioneer in AI and law

Oxford Internet Institute

Stephen Cave Executive Director Leverhulme Centre for the Future of Intelligence

Tim McGarr Market Development Manager for the Digital Area within Standards Development

BSI

Victoria McCloud

Master of the Senior Courts, Queen’s Bench High Court in London

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2.6 Task Forces

The complex nature of AI’s impact on the economy and the society requires that the activities and output

are carried out with close collaboration between individuals representing a variety of backgrounds and

disciplines, including policy, philosophy, technology, education, and business. Hence, a Task Force will

be created for each of the four pillars, to help the APPG AI deliver its activities and outputs. We welcome

individuals across sectors and industries, with both the capacity and the expertise to assist APPG AI in

fulfilling its objective.

If interested in joining, please email the APPG AI Secretariat ([email protected]). Please

submit the following:

• A copy of your short bio or CV

• A short paragraph explaining your expertise/interest in joining a specific task force

• A written commitment you have read the roles and responsibilities, and agree you have the

capacity to fulfil them

For more information, please see the Terms of Reference on the Big Innovation Centre website:

https://www.appg-ai.org/evidence/task-force-terms-of-reference/

Figure 13: Task Force Responsibilities and Output

Pillar Role Activities Output

Education Pillar 1

Each Task Force will:

• consist of 6+ individuals

• attend Task Force launch (annual)

• meet 4 times per year (in person or online)

• provide input to the respective APPG AI Pillar activities and output

• compile the pillar specific protocols

• finalise Parliamentary Evidence Meetings, suggesting speakers and confirming questions

• support in building partnerships with relevant bodies

Each Task Force will support Secretariat in facilitating the activities related to its respective pillars:

• 4 Parliamentary Evidence Meetings (2 per year)

• 2 Dinners (1 per year)

• 8 APPG AI Advisory Board Meetings (per year)

• 4 Receptions (2 per year)

Each Task Force will support Secretariat in delivering the output related to its respective pillar:

• ‘AI Highlights’ Parliamentary Briefs (All Pillars)

• AI ‘How Should’ Protocols (All Pillars)

• Online Recordings of Parliamentary Evidence Meetings (All Pillars)

• ‘AI 101’ Course and Lesson Plan (Education Pillar)

• Organisational Transformation Awards & Showcase (Enterprise Adoption of AI Pillar)

• Protocol Public Surveys (Citizen Participation Pillar)

Enterprise Adoption of

AI Pillar 2

Citizen Participatio

n Pillar 3

Data Governance

Pillar 4

mailto:[email protected]

https://www.appg-ai.org/evidence/task-force-terms-of-reference/

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3. Activities

The APPG AI Officers, Secretariat, Permanent Advisory Board and Task Forces will be responsible for

organising and facilitating a number of mandatory events, including 7 Evidence Meetings, 1 Dinner, 2

Receptions, and 4 Advisory Board Meetings per year.

3.1 Parliamentary Evidence Meetings

Two evidence meetings per year are allocated to the Education Pillar, the Enterprise Adoption of AI

Pillar, and the Citizen Participation Pillar. One evidence meeting will be allocated to the Data

Governance Pillar.

Evidence meetings will be recorded and available online for the general public.

Figure 14: Evidence Meetings in 2019 (please be aware that dates/locations might change

throughout the year)

Type Theme Key Questions Date Location

Evidence

Meeting 1:

Data

Governance

COLLECTION & USE Raising awareness

of how different

players collect,

manage, and use

personal data

• How is data currently being used by AI technologies?

• What is the proper way of seeking consent for using an individual’s data?

• Who should ultimately oversee the use of personal data for AI systems?

28 January 2019

Committee Room 1, Houses of Parliament

Evidence

Meeting 2:

Education

EDUCATION TOOL Incorporating AI technologies within learning environments

• How can AI be used as a ‘tool’ in different learning environments and across diverse subjects?

• What is the effect on the student experience? What is the effect on a teacher?

• How can it impact assessment?

18 March 2019 Committee Room 2, Houses of Parliament

Evidence

Meeting 3:

Enterprise

Adoption of AI

IMPLEMENTATION Breaking barriers to AI adoption and transforming organisations

• What are the biggest obstacles preventing enterprise from adopting AI?

13 May 2019 Committee Room 1, Houses of Parliament

22

• Do the barriers differ based on industry and/or size?

• How can Government help break these barriers? What is the role of regulatory bodies?

Evidence

Meeting 4:

Citizen

Participation

DIVERSITY Ensuring a diverse

set of voices shape

our tomorrow

• Which demographics are underrepresented in AI?

• Does AI reinforce or narrow inequality gaps?

• What are the practical steps of ensuring decision-making around AI is inclusive and diverse?

3 June 2019 Committee Room 2, Houses of Parliament

Evidence

Meeting 5:

Education

SKILLS

Equipping children

with the skillsets

they will need in

their futures

• What skills will our children need to survive and thrive as employees and as citizens?

• How can we ensure a broad and diverse skillset?

• How should various stakeholders address current skills shortages?

8 July 2019 Committee

Room 4A,

Houses of

Parliament

Evidence

Meeting 6:

Enterprise

Adoption of AI

TRANSFORMING ORGANISATIONS Changing organisational models, reskilling employees, and rethinking leadership.

• How do organisational models and cultures become more agile to deal with the changes AI brings?

• What is the role of a leader in today’s era? What does it mean to lead an organisation of humans and machines?

• How do organisations reskill and upskill their employees?

14 October

2019

Committee

Room 2,

Houses of

Parliament

Evidence

Meeting 7:

Citizen

Participation

AI & ME

• How do we get citizens to understand AI and its impact?

• How has AI already changed the daily lives of individuals?

18 November

2019

Committee

Room 2,

Houses of

Parliament

23

Building awareness

of how AI impacts

the daily lives of

individuals

What does AI mean for wellbeing?

• How is AI being implemented in homes? In transportation? In hospitals? In policy?

Figure 15: Evidence Meetings in 2020 (please be aware that dates/locations might change

throughout the year)

Type Theme Key Questions Date Location

Evidence

Meeting 8:

Data Governance

OWNERSHIP & RIGHTS Implications of data ownership, privacy rights, and user rights

• What are the various models for data ownership? Their strengths and weaknesses?

• How can individuals reclaim control over their personal data?

• Should we think of data as a commodity or as a common good that can deliver public value?

2020 TBC Houses of Parliament TBC

Evidence

Meeting 9:

Education

CURRICULUM Embedding AI into teaching curriculums

• What are the practical steps of embedding AI into curriculums?

• How should AI be introduced to different age groups?

• What should school curriculum (content, materials, aims and learning objectives) look like in a world of AI?


Evidence

Meeting 10:

Enterprise

Adoption of AI

BUSINESS TO CUSTOMER

• How does AI transform the business to customer transaction? What does the transformation mean for the relationship?

• To what extent is AI

enabling better

transactions and/or

relationships?

• What obligations do businesses have in


24

transactions using AI? To consumers as customers? To other businesses as customers? To society?

Evidence

Meeting 11:

Citizen

Participation

ENGAGEMENT Promoting public engagement across sectors, industries, and regions

• How do we educate citizens to be drivers of AI utility and not passive bystanders?

• How can we use AI to remove barriers to achieve inclusive access?

• Should AI be on the top of the policy agenda? How do we get it there?


Evidence

Meeting 12:

Education

ETHICS

Learning AI

ethical

implications

• Should AI’s ethical implications be taught in schools? If so, how?

• How can education ensure all AI developers and users become ethical AI citizens?

• How can we ensure that AI is adopted ethically in education?

2020 TBC Houses of

Parliament

TBC

Evidence

Meeting 13:

Enterprise

Adoption of AI

PRODUCTIVITY

Using AI to boost

productivity and

drive down

inefficiencies

• What infrastructure does an organisation need to successfully adopt AI?

• How is AI being used by enterprise to improve productivity?

• Who within an organisation is responsible for adopting AI to drive productivity?

2020 TBC Houses of

Parliament

TBC

Evidence

Meeting 14:

Citizen

Participation

YOUTH

Empowering the

youth and

• How is AI impacting our youth and their futures?

• How do we raise AI awareness amongst young people and encourage them to engage in the conversations happening around AI?

2020 TBC Houses of

Parliament

TBC

25

listening to their

perspectives

• What is the mechanism to ensure young people have a voice in how we respond to AI?

3.2 Dinners

The Education, Enterprise Adoption of AI, and Citizen Participation Pillars will also be responsible for

organising one stakeholder dinner per year to further deep dive into a specific issue.

Figure 16: Pillar Dinners 2019

Type Topic Special Guest

Invited

Chair Date Location

Education Dinner

An Education System Fit for Today Investment and Re-engineering Learning

Secretary of State for Education

Stephen Metcalfe and Lord Clement-Jones

4 March 2019

Attlee Room, Houses of Parliament


Dinner

Post-Brexit 4.0 Breaking Barriers to Innovation after Brexit

AI Council


24 June 2019



Dinner

It Takes a Village Stakeholder Mapping of Different Voices

Minister for Digital and the Creative Industries


4 November

2019


Figure 17: Pillar Dinners 2020

Type Topic Special Guest

Invited

Chair Date Location

Education Dinner

An Educator’s Wish Come True? Unpacking how AI Transforms Assessment

Institute of Ethics for AI in Education




Leadership in an AI World TechUK

Stephen

2020 TBC Houses of Parliament

26

Dinner Unpacking what it means to be a leader in an AI society

Metcalfe and Lord Clement-Jones

TBC


Dinner

Individual vs. the Collective Analysing the dynamics between individual and collective rights

Minister for Small Business, Consumers and Corporate Responsibility



3.3 Advisory Board Meetings

There will be quarterly advisory board meetings to co-set strategy on topics and provide feedback on

the output of each pillar’s activities.

Each Task Force will be expected to present progress and updates to the Steering Board.

Figure 18: Advisory Board Meetings (all held in Parliament)

2019 2020

• 28 January 2019

• 3 June 2019

• 14 October 2019

• 9 December 2019

• Dates to be confirmed.

27

3.4 Receptions

The APPG AI will also organise two receptions to celebrate the activities and outputs of the group. The

Spring Party will be held in partnership with the Big Innovation Centre at an external venue, and the

Christmas Dinner at the House of Lords Terrace.

Figure 19: Receptions 2019

Type Date Location

Big Innovation Centre Spring

Party 23 May 2019

Millbank Tower

AI Christmas Reception

9 December 2019 Cholmondeley Room and Terrace

Figure 20: Receptions 2020

Type Date Location

Big Innovation Centre Spring

Party April 2020

Millbank Tower

AI Christmas Reception

December 2020 House of Lords Terrace

28

4. Output

The Secretariat and Task Forces will be responsible for delivering the following outputs.

4.1 AI Parliamentary Briefs

‘AI Parliamentary Briefs will be created for all members from the House of Commons and selected

members from the House of Lords following each Evidence Meeting. The reports will feature overviews

of each Evidence Meeting and the written evidence submitted by the respective stakeholders.

Furthermore, the reports will aim to inform Parliamentarians the key issues around AI and showcase

handy facts, news, and relevant findings in the space of AI.

The reports will also include findings from APPG AI surveys, to be conducted periodically throughout

the year as under the Citizen Participation pillar.

Hard copies will be mailed to the Parliamentarians and available for the public on the APPG AI website.

4.2 AI Pillar Protocols

EDUCATION: A ‘best practice’ guidance for how AI should be adopted in the classroom, and under

what assumptions and conditions. (see Figure 3 for more details)

ENTERPRISE ADOPTION OF AI: A ‘best practice’ guidance for how AI should be adopted in a business

environment, and under what assumptions and conditions. & A ‘best practice’ guidance on the rules,

norms, and standards when AI is used in B2C Transactions. (see Figure 4 for more details)

CITIZEN PARTICIPATION: A ‘best practice’ guidance on how citizen participation could and should

use AI adoption for decision making and influencing. This could include anything from city or state

governance, to how AI should be implemented in one’s daily life (from health to travel). (see Figure 5

for more details)

DATA GOVERNANCE: A ‘best practice’ guidance on data governance at all levels in an AI world

where value is created through sharing personal and business data, and on how fit for purpose

policies can support those aims. (see Figure 6 for more details)

The protocols should focus on the principles: Purpose, Ethics, Safety, Trust, Sustainability, and

Impact (see Figure 3, 4, 5 and 6 for more details), and used to set fit for purpose policies supporting

those aims.

The protocols are created from a public survey ahead of each meeting. The results of the survey will

be presented at each Parliamentary Evidence Meeting. The design and scope of the Protocol-surveys

will be created by the Secretariat, in interaction with, and with feedback from, the Task Force

participants.

Figures 21, 22, 23, and 24 are examples of what the protocols can look like.

29

Figure 21: Education Protocol Example

A clear framework outlining the guidelines for why, where, when, and by whom AI should be embedded in education – following principles of purpose, ethics,

safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.

PROTOCOL GUIDELINES

PURPOSE ETHICS SAFETY TRUST SUSTAINABILITY IMPACT

ED

UC

AT

ION

Em

bed

din

g A

I in

th

e c

lassro

om

1. Why? 1. Why? 1. Why? 1. Why? 1. Why? 1. Why?

2. Where? 2. Where? 2. Where? 2. Where? 2. Where? 2. Where?

3. When? 3. When? 3. When? 3. When? 3. When? 3. When?

4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom?

•Clear ways to TEST if the protocols are followed.

TEST

•Clear statements allocating ACCOUNTABILITY for protocols.ACCOUNTABILITY

30

Figure 22: Enterprise Adoption of AI Protocol Example

A clear framework outlining the guidelines for why, where, when, and by whom AI should be used in business and in B2C transactions – following principles of

purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.

PROTOCOL GUIDELINES


EN

TE

RP

RIS

E A

DO

PT

ION

OF

AI

Us

ing

AI in

B2

C T

ran

sac

tio

ns






TEST


31

Figure 23: Citizen Participation Protocol Example

A clear framework outlining the guidelines for why, where, when, and by whom AI should be implemented in citizen participation and individuals’ daily lives –

following principles of purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.

PROTOCOL GUIDELINES


CIT

IZE

N P

AR

TIC

IPA

TIO

N

AI Im

ple

me

nte

d in

MY

Da

ily

Lif

e






TEST


32

Figure 24: Data Governance Protocol Example

A clear data governance framework outlining the guidelines for why, where, when, and by whom AI should be implemented when data are shared (and vise

versa) – following principles of purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.

PROTOCOL GUIDELINES


DA

TA

GO

VE

RN

AN

CE






TEST


33

4.3 Video Recordings of Parliamentary Evidence

Meetings

Each Parliamentary evidence meeting will be recorded and published on the APPG AI website

approximately two weeks after the event.

4.4 ‘AI 101’ Course and Lesson Plan

An AI lesson plan will be developed by the Education Task Force and the Secretariat - explaining

what AI is, its various use cases, as well as some of the key socio-ethical implications. The lesson

plan will be created for MPs to be used across schools in their constituencies. An upgraded version

of the pilot Envision the Future school competition will be part of the plan’s activities.

A workshop for all members from the House of Commons and House of Lords will be organised to

present the lesson plan. The workshop will also information Parliamentarians on the key policy issues

around AI. Members will be encouraged to attend using a personalised invitation highlighting how AI is

likely to influence each of their constituencies.

The workshop itself will be a short briefing about what AI is, what are the key use cases, and what are

the policy implications. The workshop is to be attended by Parliamentarians, the Secretariat, and the

Advisory Board.

4.5 Organisational Transformation Awards & Showcases

The Secretariat and the ‘Enterprise Adoption of AI’ Task Force will launch a competition encouraging

companies across industries and sectors to submit examples of how they are successfully transforming

their organisations in an increasingly AI economy. Categories are likely to include case studies of

retraining schemes, promotion of diverse and inclusive teams, policies which reward broad skills, etc.

The submissions, in whole, will showcase ‘good practice’ in organisational transformation. APPG AI

Officers will select the winners amongst the submissions.

4.6 Protocol Public Surveys

As part of each protocol, the ‘Citizen Participation’ Task Force and the Secretariat will launch public

surveys asking for the wider society to contribute to the findings of the protocol. The results will be

presented at each evidence meeting and, also, highlighted as part of the AI Parliamentary Briefs.

http://www.appg-ai.org/evidence/help-us-envision-the-future/

34

5. Sponsorship

To achieve our objective and deliver on the three pillars, we need enthusiastic partners to catalyse the development of the APPG AI programme. Partners will co-support the development of the growing UK’s AI community composed of parliamentarians, entrepreneurs, businesses, academics and thought leaders. APPG AI is not funded by taxpayer’s contribution but through sponsors joining in an open policy-making system as strategic partners with industry, government and civil society. We ask large organisations to co-sponsor £40,000 to £80,000 per year for our two-year programme 2019-2020. Small organisation are asked to sponsor £20,000 to £40,000 per year. Sponsorship is reported to Parliament. All sponsors are asked to commit to a minimum of two years to allow for long-term policymaking.

Figure 25: General Sponsorship Package

Benefits

APPG AI General Sponsorship

• Permanent membership in the APPG AI Advisory Board, one of the four bodies of the Steering Committee responsible for setting the vision and deliverables of the APPG AI programme

• Representation in all (four per year) Advisory Board Meetings, to be held at the Houses of Parliament

• Guaranteed speaking slot in at least one Evidence Meeting

• Representation in all (seven per year) Parliamentary Evidence Meetings, to be held at the Houses of Parliament

• Participation in all (three per year) pillar-specific dinners and/or workshops

• Membership in at least one Task Force

• Participation in all deliverables (consulted for feedback and showcased through interviews, case studies, etc.)

• Press activity and media coverage (as applicable)

• Logo featured at all events and all APPG AI publications (reports, factsheets, leaflets, etc.), and our website

• Featured in the website, listed as Head Partner in Home Page and About Page; Advisory Board Member also featuring on Community Page

• Direct access to high-value networks of Parliamentarians, senior decision-makers in government, industry, and academia

35

6. Timetable

Figure 26: APPG AI 2019 Key Dates

Date Time (PM) What meeting Type Venue

28-Jan-19

4:30 - 5:30 Advisory Board Meeting 1 Board Meeting CR1, Houses of Parliament

28-Jan-19

5:30 – 7:00 Evidence Meeting 1: DATA GOVERNANCE Evidence Meeting CR1, Houses of Parliament

4– Mar- 19

7:00 – 10:00 Dinner: EDUCATION Dinner Attlee, Houses of Parliament

18– Mar- 19

5:30 – 7:00 Evidence Meeting 2: EDUCATION Evidence Meeting CR2, Houses of Parliament

13- May-19

5:30 – 7:00 Evidence Meeting 3: ENTERPRISE ADOPTION OF AI

Evidence Meeting CR1, Houses of Parliament

23- May- 19

6:30 - 10:00 Big Innovation Centre Spring Party Party Millbank Tower

03-Jun-19


03-Jun-19

5:30 – 7:00 Evidence Meeting 4: CITIZEN PARTICIPATION Evidence Meeting CR2, Houses of Parliament

24-Jun-19

5:30 - 7:00 Dinner: ENTERPRISE ADOPTION OF AI Dinner Attlee, Houses of Parliament

8-Jul-19

5:30 - 7:00 Evidence Meeting 5: EDUCATION Evidence Meeting CR4A, Houses of Parliament

14-Oct-19


36

14-Oct-19

5:30 - 7:00 Evidence Meeting 6: ENTERPRISE ADOPTION OF AI

Evidence Meeting CR2, Houses of Parliament

4-Nov-19

5:30 - 7:00 Dinner: CITIZEN PARTICIPATION Dinner Attlee, Houses of Parliament

18-Nov-19

5:30 - 7:00 Evidence Meeting 7: CITIZEN PARTICIPATION Evidence Meeting CR2, Houses of Parliament

09-Dec-19

6:00 – 7:00 Advisory Board Meeting 4 Board Meeting Houses of Parliament

09-Dec-19

7:00 – 9:00 AI Christmas Reception Houses of Parliament

Figure 27: APPG AI 2020 Key Dates

Date Time (PM) What meeting Type Venue

Jan-20 4:30 - 5:30 Advisory Board Meeting 5 Board Meeting Houses of Parliament

Jan-20 5:30 – 7:00 Evidence Meeting 8: DATA GOVERNANCE Evidence Meeting Houses of Parliament

Mar- 20

7:00 – 10:00 Dinner: EDUCATION Dinner Houses of Parliament

Mar- 20

5:30 – 7:00 Evidence Meeting 9: EDUCATION Evidence Meeting Houses of Parliament

Apr-20 5:30 – 7:00 Evidence Meeting 10: ENTERPRISE ADOPTION OF AI

Evidence Meeting Houses of Parliament

May- 20

6:30 - 10:00 Big Innovation Centre Spring Party Party Millbank Tower

Jun-20 4:30 - 5:30 Advisory Board Meeting 6 Board Meeting Houses of Parliament

Jun-20 5:30 – 7:00 Evidence Meeting 11: CITIZEN PARTICIPATION Evidence Meeting Houses of Parliament

37

Jun-20 5:30 - 7:00 Dinner: ENTERPRISE ADOPTION OF AI Dinner Houses of Parliament

Jul-20 5:30 - 7:00 Evidence Meeting 12: EDUCATION Evidence Meeting Houses of Parliament

Oct-20 4:30 - 5:30 Advisory Board Meeting 7 Board Meeting Houses of Parliament

Oct-20 5:30 - 7:00 Evidence Meeting 13: ENTERPRISE ADOPTION OF AI

Evidence Meeting Houses of Parliament

Nov-20

5:30 - 7:00 Dinner: CITIZEN PARTICIPATION Dinner Houses of Parliament

Nov-20

5:30 - 7:00 Evidence Meeting 14: CITIZEN PARTICIPATION Evidence Meeting Houses of Parliament

Dec-20

6:00 – 7:00 Advisory Board Meeting 8 Board Meeting Houses of Parliament

Dec-20

7:00 – 9:00 AI Christmas Reception Houses of Parliament

38

Figure 28: APPG AI 2019 Timeline

Figure 29: APPG AI 2020 Timeline (*dates to be confirmed)

Evidence Meeting 1 (AB1)

Dinner: Education

Evidence Meeting 2

Evidence Meeting 3

BIC Party


Dinner: Enterprise Adoption

Evidence Meeting 5


Dinner: Citizen Participation

Evidence Meeting 7

Reception (AB4)

1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jul 1 Aug 1 Sep 1 Oct 1 Nov 1 Dec


Dinner: Education

Evidence Meeting 9

Evidence Meeting 10

BIC Party


Dinner: Enterprise Adoption

Evidence Meeting 12


Dinner: Citizen Participation

Evidence Meeting 14

Reception (AB8)

1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jul 1 Aug 1 Sep 1 Oct 1 Nov 1 Dec

39

For enquiries or further information on the APPG AI

All Party Parliamentary Group on Artificial Intelligence (APPG AI) Secretariat

Big Innovation Centre I 8th floor Penthouse, 20 Victoria Street, London SW1H 0NF

T +44 (0)20 3713 4036 | M +44 (0)79 4478 3648

Email: [email protected]

CEO and Co-Creator: Professor Birgitte Andersen

Innovation and Policy Foresight Manager: Niki Iliadis

www.appg-ai.org

mailto:[email protected]

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