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CONFIRM IS THE SCIENCE FOUNDATION IRELAND RESEARCH CENTRE FOR SMART MANUFACTU
AI in Manufacturing & the
Proposed EU AI Act
Professor Barry O’Sullivan, FEurAI, FIAE, FICS, MRIA
School of Computer Science & IT, University College Cork, Ireland
Principal Investigator, Confirm Centre for Smart Manufacturing
Director, SFI Centre for Research Training in Artificial Intelligence
Director, Insight Centre for Data Analytics, UCC
Chair, Expert Group for Future Skills Needs (Committee on AI Skills)
Chair, National Research Ethics Committee for Medical Devices
Chair, Advisory Board, GRACE Project (Europol)
Chair, Oversight Board, Health Data Research UK North
Advisor, AI Watch, European Commission Joint Research Centre
Vice Chair, European Commission High-Level Expert Group on AI (2018-2020)
President, European Artificial Intelligence Association (2018-2020)
CONFIRM – SMART MANUFACTURING
AI: The Irish Connection
Boole Turing McCarthy Hinton
CONFIRM – SMART MANUFACTURING
5
ACM Turing Award, 2018
Hinton Bengio
Le Cun
Google
Facebook Element.ai
CONFIRM – SMART MANUFACTURING
@BarryOSullivan
[ European enterprise survey on the use of technologies based on artificial intelligence,
European Commission ]
CONFIRM – SMART MANUFACTURING 14
http://altai.insight-centre.org
INDEPENDENT
HIGH-LEVEL EXPERT GROUP ON
ARTIFICIAL INTELLIGENCE
SET UP BY THE EUROPEAN COMMISSION
ETHICS GUIDELINES
FOR TRUSTWORTHY AI
15
INDEPENDENT
HIGH-LEVEL EXPERT GROUP ON
ARTIFICIAL INTELLIGENCE
SET UP BY THE EUROPEAN COMMISSION
ETHICS GUIDELINES
FOR TRUSTWORTHY AI
16
The 7 Key Requirements for Achieving Trustworthy AI
Human agency &
oversight
AI systems should enable equitable societies by supporting human agency
and fundamental rights, and not decrease, limit or misguide human
autonomy.
Robustness & safety
Trustworthy AI requires algorithms to be secure, reliable and robust enough
to deal with errors or inconsistencies during all life cycle phases of AI systems.
Privacy & data
governance
Citizens should have full control over their own data, while data concerning
them will not be used to harm or discriminate against them.
Transparency The traceability of AI systems should be ensured.
Diversity, non-
discrimination & fairness
AI systems should consider the whole range of human abilities, skills and
requirements, and ensure accessibility.
Societal & environmental
well-being
AI systems should be used to enhance positive social change and enhance
sustainability and ecological responsibility.
Accountability
Mechanisms should be put in place to ensure responsibility and accountability
for AI systems and their outcomes.
17
Trustworthy AI and the GDPR (CIPL)
Human agency and oversight Transparency (art. 13&14) / ADM (art. 22), Right to obtain human intervention
(art. 22(3)) / Risk assessment and DPIA (art. 35)
Robustness and safety Security (art. 32) / Risk Assessment and DPIA (art. 35) / Data accuracy (art.
5(1)(5))
Privacy and data governance Data protection principles (art. 5) and Accountability (art. 24(3)) / Transparency
(art. 13&14) / Consent (art. 7) / Security (art. 32) / DPO (art. 37&38) /
Processor due diligence (art. 28(1))
Transparency Transparency (art. 13&14) / ADM (art. 22)
Diversity, non-discrimination
and fairness
Fairness Data Protection Principle (art. 5.1(a)) / Risk assessment and DPIA (art.
35) / Right to Information on ADM and logic involved (art. 15(1)(h))
Societal and environmental
well-being
Risk Assessment and DPIA (art. 35) / Transparency (art. 13&14)
Accountability Accountability (art. 5(2) & 24(3)) / Risk Assessment and DPIA (art. 35) /
Processor due diligence (art. 28(1))
18
In my first 100 days in office, I will put
forward legislation for a coordinated
European approach on the human and
ethical implications of Artificial
Intelligence.
This should also look at how we can use
big data for innovations that create wealth
for our societies and our businesses.
I will make sure that we prioritise
investments in Artificial Intelligence, both
through the Multiannual Financial
Framework and through the increased use
of public-private partnerships.”
- Ursula von de Leyen
A risk-based approach to regulation
Unacceptablerisk
e.g. social scoring
High risk
e.g. recruitment,medical
devices
AI with specific
transparency obligations
‘Impersonation’(bots)
Minimalor no risk
Prohibited
Permittedsubjectto compliance
with AI requirementsand ex-ante
conformityassessment
Permittedbut subject to
information/transparency
Obligations
Permittedwith no restrictions
*Not mutually
exclusive
CONFIRM – SMART MANUFACTURING 25
Education and Skills:
The Elements of AI – Free MOOC for All
https://www.elementsofai.com/ie
KPI in Ireland: >50,000 completions
CONFIRM – SMART MANUFACTURING 26
Education and Skills:
The Elements of AI – Free MOOC for All
https://www.elementsofai.com/ie
KPI in Ireland: >50,000 completions
SFI Centre for Research Training in AI
http://www.crt-ai.ie
EG-FSN Committee on AI Skills
CONFIRM – SMART MANUFACTURING 29
@BarryOSullivan
CONFIRM – SMART MANUFACTURING
Ireland needs a dedicated Government Office for AI
The office should take responsibility for overseeing the
implementation and refinement of the National AI Strategy.
Engage organizations, foster growth and deliver
recommendations around data, skills, investment, and
public/private sector adoption.
Human-centric: ensure AI works for people, maximizing
benefits & minimizing risks (Trustworthy AI).
Adoption focused: supporting adoption across sectors.
Structures and Foundations: create the environment to
empower stakeholders to build and deploy AI. Focus on
skills, data, investment, positioning, advocating, lobbying
and diplomacy.
https://www.gov.uk/government/organisations/office-for-
artificial-intelligence
@BarryOSullivan
CONFIRM IS THE SCIENCE FOUNDATION IRELAND RESEARCH CENTRE FOR SMART MANUFACTU
AI in Manufacturing & the
Proposed EU AI Act
Professor Barry O’Sullivan, FEurAI, FIAE, FICS, MRIA
School of Computer Science & IT, University College Cork, Ireland
Principal Investigator, Confirm Centre for Smart Manufacturing
Director, SFI Centre for Research Training in Artificial Intelligence
Director, Insight Centre for Data Analytics, UCC
Chair, Expert Group for Future Skills Needs (Committee on AI Skills)
Chair, National Research Ethics Committee for Medical Devices
Chair, Advisory Board, GRACE Project (Europol)
Chair, Oversight Board, Health Data Research UK North
Advisor, AI Watch, European Commission Joint Research Centre
Vice Chair, European Commission High-Level Expert Group on AI (2018-2020)
President, European Artificial Intelligence Association (2018-2020)

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AI in Manufacturing & the Proposed EU Artificial Intelligence Act

  • 1. CONFIRM IS THE SCIENCE FOUNDATION IRELAND RESEARCH CENTRE FOR SMART MANUFACTU AI in Manufacturing & the Proposed EU AI Act Professor Barry O’Sullivan, FEurAI, FIAE, FICS, MRIA School of Computer Science & IT, University College Cork, Ireland Principal Investigator, Confirm Centre for Smart Manufacturing Director, SFI Centre for Research Training in Artificial Intelligence Director, Insight Centre for Data Analytics, UCC Chair, Expert Group for Future Skills Needs (Committee on AI Skills) Chair, National Research Ethics Committee for Medical Devices Chair, Advisory Board, GRACE Project (Europol) Chair, Oversight Board, Health Data Research UK North Advisor, AI Watch, European Commission Joint Research Centre Vice Chair, European Commission High-Level Expert Group on AI (2018-2020) President, European Artificial Intelligence Association (2018-2020)
  • 2. CONFIRM – SMART MANUFACTURING AI: The Irish Connection Boole Turing McCarthy Hinton
  • 3.
  • 4. CONFIRM – SMART MANUFACTURING
  • 5. 5 ACM Turing Award, 2018 Hinton Bengio Le Cun Google Facebook Element.ai
  • 6. CONFIRM – SMART MANUFACTURING
  • 7. @BarryOSullivan [ European enterprise survey on the use of technologies based on artificial intelligence, European Commission ]
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. CONFIRM – SMART MANUFACTURING 14 http://altai.insight-centre.org INDEPENDENT HIGH-LEVEL EXPERT GROUP ON ARTIFICIAL INTELLIGENCE SET UP BY THE EUROPEAN COMMISSION ETHICS GUIDELINES FOR TRUSTWORTHY AI
  • 15. 15 INDEPENDENT HIGH-LEVEL EXPERT GROUP ON ARTIFICIAL INTELLIGENCE SET UP BY THE EUROPEAN COMMISSION ETHICS GUIDELINES FOR TRUSTWORTHY AI
  • 16. 16 The 7 Key Requirements for Achieving Trustworthy AI Human agency & oversight AI systems should enable equitable societies by supporting human agency and fundamental rights, and not decrease, limit or misguide human autonomy. Robustness & safety Trustworthy AI requires algorithms to be secure, reliable and robust enough to deal with errors or inconsistencies during all life cycle phases of AI systems. Privacy & data governance Citizens should have full control over their own data, while data concerning them will not be used to harm or discriminate against them. Transparency The traceability of AI systems should be ensured. Diversity, non- discrimination & fairness AI systems should consider the whole range of human abilities, skills and requirements, and ensure accessibility. Societal & environmental well-being AI systems should be used to enhance positive social change and enhance sustainability and ecological responsibility. Accountability Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes.
  • 17. 17 Trustworthy AI and the GDPR (CIPL) Human agency and oversight Transparency (art. 13&14) / ADM (art. 22), Right to obtain human intervention (art. 22(3)) / Risk assessment and DPIA (art. 35) Robustness and safety Security (art. 32) / Risk Assessment and DPIA (art. 35) / Data accuracy (art. 5(1)(5)) Privacy and data governance Data protection principles (art. 5) and Accountability (art. 24(3)) / Transparency (art. 13&14) / Consent (art. 7) / Security (art. 32) / DPO (art. 37&38) / Processor due diligence (art. 28(1)) Transparency Transparency (art. 13&14) / ADM (art. 22) Diversity, non-discrimination and fairness Fairness Data Protection Principle (art. 5.1(a)) / Risk assessment and DPIA (art. 35) / Right to Information on ADM and logic involved (art. 15(1)(h)) Societal and environmental well-being Risk Assessment and DPIA (art. 35) / Transparency (art. 13&14) Accountability Accountability (art. 5(2) & 24(3)) / Risk Assessment and DPIA (art. 35) / Processor due diligence (art. 28(1))
  • 18. 18 In my first 100 days in office, I will put forward legislation for a coordinated European approach on the human and ethical implications of Artificial Intelligence. This should also look at how we can use big data for innovations that create wealth for our societies and our businesses. I will make sure that we prioritise investments in Artificial Intelligence, both through the Multiannual Financial Framework and through the increased use of public-private partnerships.” - Ursula von de Leyen
  • 19.
  • 20.
  • 21.
  • 22. A risk-based approach to regulation Unacceptablerisk e.g. social scoring High risk e.g. recruitment,medical devices AI with specific transparency obligations ‘Impersonation’(bots) Minimalor no risk Prohibited Permittedsubjectto compliance with AI requirementsand ex-ante conformityassessment Permittedbut subject to information/transparency Obligations Permittedwith no restrictions *Not mutually exclusive
  • 23.
  • 24.
  • 25. CONFIRM – SMART MANUFACTURING 25 Education and Skills: The Elements of AI – Free MOOC for All https://www.elementsofai.com/ie KPI in Ireland: >50,000 completions
  • 26. CONFIRM – SMART MANUFACTURING 26 Education and Skills: The Elements of AI – Free MOOC for All https://www.elementsofai.com/ie KPI in Ireland: >50,000 completions
  • 27. SFI Centre for Research Training in AI http://www.crt-ai.ie
  • 28. EG-FSN Committee on AI Skills
  • 29. CONFIRM – SMART MANUFACTURING 29 @BarryOSullivan
  • 30.
  • 31.
  • 32. CONFIRM – SMART MANUFACTURING Ireland needs a dedicated Government Office for AI The office should take responsibility for overseeing the implementation and refinement of the National AI Strategy. Engage organizations, foster growth and deliver recommendations around data, skills, investment, and public/private sector adoption. Human-centric: ensure AI works for people, maximizing benefits & minimizing risks (Trustworthy AI). Adoption focused: supporting adoption across sectors. Structures and Foundations: create the environment to empower stakeholders to build and deploy AI. Focus on skills, data, investment, positioning, advocating, lobbying and diplomacy. https://www.gov.uk/government/organisations/office-for- artificial-intelligence @BarryOSullivan
  • 33. CONFIRM IS THE SCIENCE FOUNDATION IRELAND RESEARCH CENTRE FOR SMART MANUFACTU AI in Manufacturing & the Proposed EU AI Act Professor Barry O’Sullivan, FEurAI, FIAE, FICS, MRIA School of Computer Science & IT, University College Cork, Ireland Principal Investigator, Confirm Centre for Smart Manufacturing Director, SFI Centre for Research Training in Artificial Intelligence Director, Insight Centre for Data Analytics, UCC Chair, Expert Group for Future Skills Needs (Committee on AI Skills) Chair, National Research Ethics Committee for Medical Devices Chair, Advisory Board, GRACE Project (Europol) Chair, Oversight Board, Health Data Research UK North Advisor, AI Watch, European Commission Joint Research Centre Vice Chair, European Commission High-Level Expert Group on AI (2018-2020) President, European Artificial Intelligence Association (2018-2020)