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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 29th, 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 • Cécile Huet, Deputy Head of Unit, A1, European Commission, DG CNECT • Federico Milani, Deputy Head of Unit, 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 Cécile Huet Federico Milani
Sonja Zillner David Bisset Michela Milano
Deputy Head of Unit A1European Commission
DG CNECT
Deputy Head of Unit G1European Commission
DG 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, …)
30.07.20 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”
30.07.20 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 to the speakers from the European Commission
Cécile Huet, Deputy Head of Unit, A1, European Commission, DG CNECT Federico Milani, Deputy Head of Unit, 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)
30.07.20
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
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 [email protected]
• 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