A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

The new partnership on AI, Data and Robotics in Europe

Information session July 16th, 2020

Objectives of this information session

To inform about the ways to contribute andengage

To provide overall information about the AI,Data and Robotics Partnership

To describe contents of the current StrategicResearch, Innovation and DeploymentAgenda (SRIDA) consultation version and theprocess to develop the first official version

AgendaNeed for the AI, Data and Robotics Partnership in Europe: Our Vision Thomas Hahn, Siemens, BDVA President

European Commission Perspective • Juha Heikkilã, Head of Unit, A1, European Commission, DG CNECT • Kimmo Rossi, Head of Sector, G1, European Commission, DG CNECT

Overview of the Partnership SRIDA Core Editorial Team: Sonja Zillner, David Bisset, Michela Milano

Strategic Research, Innovation and Deployment Agenda (SRIDA): Content and update SRIDA Core Editorial Team: Sonja Zillner, David Bisset, Michela Milano

How to engageAna García Robles, BDVA Secretary General

Q&A

Speakers

Thomas Hahn Juha Heikkilä Kimmo Rossi

Sonja Zillner David Bisset Michela Milano

Head of Unit, A1European

CommissionDG CNECT

Head of Sector, G1European

CommissionDG CNECT

Executive Director, euRobotics

BDVA PresidentChief Software Expert

SIEMENS AG

Senior Key Expert Corporate

Technology SiemensBDVA SRIA lead

Professor of Intelligent Systems

University of Bologna. EurAI Deputy President

Practical considerations before starting

• Only presenters and moderators can speak

• Presentations, post-webinar reportand video of the webinar will beuploaded to the PPP webpage. Staytuned!!

• Participants, please write down your questions into theQuestions area (we will try to answer, and all will be addressed inthe post webinar report)

• Be sure that you extend the control panel

https://ai-data-robotics-partnership.eu/

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

Need for the AI, Data and Robotics Partnership in Europe: Our Vision

Thomas Hahn, Siemens, BDVA President

Holistic view needed!

Partnership: history of preparation and next steps roadmap

Link to documents and press releases• AI position Statement (12/11/2108) “Data-driven artificial intelligencefor European economic competitiveness and societal progress”(Recommendation 1: “Set-up a European Public-Private-Partnership on AI(Partnership)”)

• BDVA and euRobotics sign a MoU to boost AI progress in Europe(5/12/2018)

• AI coordinated action plan Full document (Main communication 2.2section) and related Press release (7/12/2018)

• Vision paper and related Press release (March 2019)• First version of the SRIDA and related Press release (6/6/2019)• Intervention by Commissioner Gabriel on June 26th at the AI AllianceAssembly)

• Second version of the SRIDA and related Press release (September 2019)• EBDVF 2019 sessions and policy discussions (October 2019)

• Openness and inclusiveness to bring European and cross-domain knowledge together to fulfillabove mentioned vision

• Openness to include new partners (new businesses, new experts, new knowledge, newentrepreneurs etc.)

• Joint strategy leveraging European strengths and unique selling points to be developedBUT also with a strong focus on new emerging businesses (e.g. verticals, service businesses etc.)

• Leading principle must be to produce valuable content in/for Europe and to overcome particularinterests. Trust to each others.

• Well balanced amount of members covering AI, Data and Robotics and well balanced betweenResearch and Industry. Representativeness of the new innovation forces/communities (e.g Start-ups, high-tech companies, …)

16.07.20 12

Guiding principles for successful partnership“The Vision of the Partnership is to boost European competitiveness, societal

wellbeing and environmental aspects to lead the world in researching, developing and deploying value-driven trustworthy AI, Data and Robotics based on European

fundamental rights, principles and values”

16.07.20 13

Partnership General Objectives

Secure European’s sovereignty over AI, Data and Robotics technologies and knowhow

Establish European leadership in AI, Data and Robotics technologies with high socio-economic impact

Reinforce a strong and global competitive position of Europe in AI, Data and Robotics

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

Welcome speakers from the European Commission

Juha Heikkila, Head of Unit, A1, European Commission, DG CNECT Kimmo Rossi, Head of Sector, G1, European Commission, DG CNECT

Q&A

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

Overview of the new Partnership

SRIDA Core Editorial team Sonja Zillner (Siemens/BDVA)David Bisset (iTechnic/EuRobotics)Michela Milano (University of Bologna/EurAI)

16.07.20

Partnership General Objectives

Secure European’s sovereignty over AI, Data and Robotics technologies and knowhow

Establish European leadership in AI, Data and Robotics technologies with high socio-economic impact

Reinforce a strong and global competitive position of Europe in AI, Data and Robotics

AI, Data and Robotics Opportunities exist across sectors

Expected distribution of financial investments in Artificial Intelligence systems, Robotics and Drones in Western Europe in 2019Source: Combined data from IDC Worldwide Semi-annual Artificial Intelligence Systems & Robotics and Drones Spending Guide -2018 H2)

Adoption challenges: Open collaboration needed!

Coordination and Support

Actions (CSA) Innovation Actions (IA)

Research and Innovation

Action (RIA)

Activities

Horizon

Europe

Digital

Europe

Strengthen scientific

capabilities in human-centred / trustworthy AI,

Data and Robotics

Master essential technologies in

human-centred / trustworthy AI,

Data and Robotics

Maximise the economic benefit

of AI, Data and Robotics in all

sectors and regions in Europe

Accelerate and scale-up new

markets and novel applications of AI, Data and Robotics

Build a strong and effective European

AI, Data and Robotics

innovation ecosystem

Maximise the societal and

environmental benefits of AI,

Data and Robotics

Make the benefits of AI, Data and

Robotics accessible to

everyone everywhere

Specific objectives

Secure European sovereignty over AI, Data and Robotics

technologies and knowhow (Position & Control)

Establish European leadership in AI Data and Robotics technologies with high socio-economic impact

(Technology & Innovation)

Reinforce a strong and global competitive position of Europe in

AI, Data and Robotics (Market)General objectives

Operational objectives

Accelerate digital

transformation and

uptake of industry in

all sectors (e.g.

through large scale

pilots, DIH, CoE)

Lead and support

research raising the

state-of-the-art

around AI, Data and

Robotics

Support initiatives

aiming integrating

and building systems

around AI, Data and

Robotics

Promote

collaborative working

with other horizontal

and vertical

communities

Work towards

aligning legal

foundations,

standards &

regulations

Support initiatives

that engage and

promote SMEs &

stimulate

investments

Support initiatives

that foster AI Skill

building &

strengthening of

societal awareness

Develop and

implement

mechanisms to

create an effective &

accessible

ecosystem (incl.

innovation

infrastructure)

Novelty

ExplorationLighthouses

Infrastructure

Development

Cascade

Actions

Community

Building

Mission Based

Challenges

Challenge

Based

Competitions

Uptake Actions

Coordination and Support

Actions (CSA) Innovation Actions (IA)

Research and Innovation

Action (RIA)

Activities

Horizon

Europe

Digital

Europe

Strengthen scientific

capabilities in human-centred / trustworthy AI,

Data and Robotics

Master essential technologies in

human-centred / trustworthy AI,

Data and Robotics

Maximise the economic benefit

of AI, Data and Robotics in all

sectors and regions in Europe

Accelerate and scale-up new

markets and novel applications of AI, Data and Robotics

Build a strong and effective European

AI, Data and Robotics

innovation ecosystem

Maximise the societal and

environmental benefits of AI,

Data and Robotics

Make the benefits of AI, Data and

Robotics accessible to

everyone everywhere

Specific objectives

Secure European sovereignty over AI, Data and Robotics

technologies and knowhow (Position & Control)

Establish European leadership in AI Data and Robotics technologies with high socio-economic impact

(Technology & Innovation)

Reinforce a strong and global competitive position of Europe in

AI, Data and Robotics (Market)General objectives

Operational objectives

Accelerate digital

transformation and

uptake of industry in

all sectors (e.g.

through large scale

pilots, DIH, CoE)

Lead and support

research raising the

state-of-the-art

around AI, Data and

Robotics

Support initiatives

aiming integrating

and building systems

around AI, Data and

Robotics

Promote

collaborative working

with other horizontal

and vertical

communities

Work towards

aligning legal

foundations,

standards &

regulations

Support initiatives

that engage and

promote SMEs &

stimulate

investments

Support initiatives

that foster AI Skill

building &

strengthening of

societal awareness

Develop and

implement

mechanisms to

create an effective &

accessible

ecosystem (incl.

innovation

infrastructure)

Novelty

ExplorationLighthouses

Infrastructure

Development

Cascade

Actions

Community

Building

Mission Based

Challenges

Challenge

Based

Competitions

Uptake Actions

Operational objectives

Accelerate

digital transformati

on and uptake of industry in

all

sectors

Lead and support

research

beyond state-of-the-art around

AI, Data and Robotics

Integrate

and build

systems

around AI, Data and Robotics

Collaborate

with other horizontal

and vertical

communities

Work towards

aligning legal

foundations

standards & regulations

Promote

SMEs

andstimulate

investment

Foster AI

Skill

building

&strengthen societal

awareness

Develop and

implement mechanisms to create an effective & accessible

ecosystem

Investment areas

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

Partnership Strategic Research Innovation and Deployment Agenda(SRIDA)SRIDA Core Editorial team

David Bisset (iTechnic/euRobotics)Michela Milano (University of Bologna/EurAI)Sonja Zillner (Siemens/BDVA)

European AI, Data and Robotics Framework…

… represents the legal and societal fabric that underpinsthe impact of AI, Data and Robotics on stakeholder andusersEuropean Fundamental Right, Principles and Values• Products and Services based on AI, Data and Robotics must be based onvalues that are compatible with European rights principles and values

Value-Driven AI, Data and Robotics for Business, Societyand People• Critical to deploying AI, Data and Robotics is its acceptance by users, andcitizen, acceptance comes when they see value AND they can assign trust

Policy, Regulation, Certification and Standards• The adoption of AI, Data and Robotics depends on a legal framework ofapproval built on regulation, partly driven by policy, and an array ofcertification processes and standards driven by industry

AI, Data and Robotics Innovation Ecosystem Enablers…

… are the essential ingredients for success in theinnovation systemSkills and Knowledge• AI, Data and Robotics will affect skills needed by both industry and society

Data for AI• For AI, Data and Robotics to develop further, large volumes of cross-sectorial, unbiased, high-quality and trustworthy data need to be madeavailable

Experimentation and Deployment• Experimentation is critical for AI, Data and Robotics based innovationbecause of the need to deploy in complex physical and digitalenvironments

Cross-Sectorial AI, Data and Robotics Technology Enablers...… represent the fundamental building blocks needed to create AI, Dataand Robotics systems of all types.Sensing , Measuring and Perception• encompass methods to access, assess, convert and aggregate signals thatrepresent real-world parameters into communicable data assets

Continuous and Integrated Knowledge• involves transforming, cleaning, storing, sharing, modelling, simulation,synthesizing and extracting insights

Trustworthy Hybrid Decision Making• includes human decision making, machine decision making, mixed decisionmaking and decision support and sliding or variable decision making

Physical and Human Interactions• covers the challenge of human interaction, machine to machine interoperationand machine interaction with human environment

Systems, Methodologies and Hardware• provides methods that enable the construction and configurating of systems byintegrating technologies into systems and ensuring that core systemsproperties, such as safety, robustness, dependability and trustworthiness aremet.

Scope of the SRIDA Update for Version 3.0

Mainly editorial work

Who: Core Editorial Team

Content structure will guide deep dives in

the three technology areas

This section will contain three Deep Dives Sections:

• Deep Dive in AI• Deep Dive in Data• Deep Dive in Robotics

Three new sections follows same content structure and length per section

(Deep Dive Editorial Team) Mainly editorial work

Who: Core Editorial Team

New chapter with

Documentation of outreach & engagement

Who: Complete Editorial Team

May 2020 June 2020 July 2020 August September

Setting up & agreement:• process & timing,• responsibilities and• content structure

SRIDA Update: Detailed Process Steps & Timing

Section on AI

Section on Data

Section on Robotics

Joint Sections

Rework, Consolidate on Section-level

Phase 1 Baselining

Phase 2 Content Production

Phase 3Consolidation

WHO

Transf. Team

Organize Approval

Editorial Team

Deep Dive EditorialTeams

Scope Definition and Guiding Questions

for the new sections

Cross-technology Workshops

Joint Sections

Section on AI

Section on Data

Section on Robotics

Content Collection for all new sections

21st July Begin Sept

Produce final Version: alignment of content across sections,

Additional outreach activities: Member states, other PPPs, other cluster, other key players

29th July16th July

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

AI, Data and Robotics Deep Dives

SRIDA Core Editorial team Michela Milano (University of Bologna/EurAI)Sonja Zillner (Siemens/BDVA)David Bisset (iTechnic/euRobotics)

AI Deep-DiveDecades of research in AI have produced technologies that are providing strongbenefit to all verticals in industry, government, and society.The Partnership will focus its work on AI in its broad sense including...

The PPP will consider all major areas including, but not limited to Planning and Scheduling,Learning and Reasoning, Knowledge-based systems as well as applications to Vision,Speech Processing, Natural Language Processing and Decision Support Systems.

Trustworthy and human-centric design and operations of AI systems

Optimization and decision making

Search methods and Evolutionary Computation

Machine Learning and deep learning encountering technological and organizational access to data

Small data learning, continuous learning and transfer learning

Combination of machine perception, learning and reasoning

Success in data-driven AI application relies on the access and processing of data in highquality and efficient manner by• Privacy by design: Scaling Privacy-Preserving Technologies• Overcoming barriers to data sharing which requires

• frameworks for data governance for all parties to share their data assets within a trustedframework to create new data value chains

• European Data Space as key enabler for data-driven AI by enabling the creating of data value chainsusing a mix of personal, non-personal, proprietary, closed and open research data.

• Establishing means for extracting insights meaningful from unstructured data, such aslanguage, images, video, text, sound, etc.• Deriving value by combining data insights & domain knowledge, i.e. by combining

symbolic and non-symbolic approaches• Scalable and reliable approaches for distributed data analytics (edge analytics)• Supporting scaling and federation of Data and AI systems

Data Deep-Dive

Robotics Deep-Dive‘ai’

(Technology)Physical

IntelligenceRobotics

Sensing & PerceptionSystem

Integration

Test & Certification

Deployment&

Uptake

Design & Integration Processes

Mechatronics

Decision Making

Enabling Technologies

Design Tools

“Faster, cheaper, better”

Test EnvironmentsRegulatory sandboxes

European Safety Standards

InteractionHuman

Environment BehaviourDevelopment

PhysicalPlatform

Regulation & Standards

Components

Validation & Benchmarking

Knowledge Tools

€

Markets

Application Use Cases

A joint initiative by

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE

How to engage

Ana García Robles (BDVA)

How to engage• If you have some generic questions or you would like to receive future

communications, etc.

• Contributions to SRIDA:• https://ai-data-robotics-partnership.eu/• Download template (Resources area) (Instructions in the template)• Send your contributions to provide your input no later than the 28th of August 2020• Send it to srida_contribution@ai-data-robotics-partnership.eu

• Engage through any of the participating communities (BDVA, CLAIRE, ELLIS, EurAI, euRobotics)

Fill in the form on the Partnership micrositehttps://ai-data-robotics-partnership.eu/

Q&A

Thank you!

https://ai-data-robotics-partnership.eu/

Confederation of Laboratories forArtificial Intelligence Research in EuropeCLAIRE