1 / 19

European Strategy for Ethical and Trustworthy AI: Maximizing Investments and Partnership

This strategy aims to boost Europe's technological and industrial capacity in AI through partnerships, coordination, and ethical guidelines. It also focuses on nurturing talent, developing data spaces, and ensuring a legal framework.

burkhead
Download Presentation

European Strategy for Ethical and Trustworthy AI: Maximizing Investments and Partnership

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Maximise investments through partnerships Create European data spaces Nurture talent, skills and life-long learning Develop ethical and trustworthy AI Coordinated Plan on Artificial Intelligence (published 07/12/2019)

  2. Boosting technological and industrial capacity – AI uptake Development and use of AI for good and for all Ensure an appropriate ethical and legal framework STRATEGY FOR EUROPE TO LEAD THE WAY Prepare for socio-economic changes Artificial Intelligence for Europe (published 25/04/2018)

  3. Inclusive: composition of AI HLEG, EU AI Alliance Comprehensive: addressing competitiveness, socio-economic challenges & legal and ethical issues Ethical: in line with European values European approach to AI

  4. National AI strategies: By mid-2019 all Member States should have their own strategies in place Developing and connecting world-leading centres for AI A new European AI public-private partnership A new AI scale-up fund Coordinated action plan on AI – Maximise investments

  5. World-leading position in robotics, especially for professional users Performant industrial and services sectors & strong business-to-business applications World-leading research centers Europe has strong assets

  6. Boosting the EU's technological and industrial capacity: 2018 - 2020 Support for basic (explainable AI, data-efficient AI) and industrial research (health, transport, agriculture, manufacturing) Network of AI-focused Digital Innovation Hubs (DIHs) €1.5 billion EC investments into AI in 2018-20 AI-on-demand platform Strengthening AI excellence centres

  7. Horizon Europe (H2020 successor) - €100 billion overall - €53 billion for "global challenges and industrial competitiveness" including AI as part of the "Digital and Industry" cluster - €16.6 billion for European Research Council, €10.5 billion for European Innovation Council Digital Europe Programme: - €2.5 billion on AI - Common data spaces, AI-on-demand platform, large-scale testing facilities, reinforcing AI excellence centres, AI-focussed Digital Innovation Hubs Planning of AI-related investments in next multi-annual financial framework (2021-2027)

  8. A Communication on the digital transformation of health and care, including sharing of genomic and other health data sets An updated Recommendation on access to and preservation of scientific information Guidance on sharing private sector data in the economy (including industrial data) An updated Directive on public sector information Making more data available

  9. Support the development of industrial data platforms Develop a database with cancer images Identify public data sets Coordinated action plan on AI – Create European data spaces

  10. Social acceptance of robotics and AI

  11. Do we want full transparency of algorithms? Or should we trust experts that have certified a product?

  12. Develop a PhD component as part of the efforts to strengthen European AI excellence centres Exchange best practices on upskilling Include the skills dimension in national AI strategies Make full use of the Blue Card system Coordinated action plan on AI - Skills

  13. Set up dedicated (re-)training schemes in connection with the Blueprint on sectoral cooperation on skills Gather input from experts to anticipate changes on the labour market Support Digital Opportunity Traineeships (2018-20) in advanced digital skills for students and fresh graduates Ask social partners to include AI in their joint work programmes Suggest broadening the scope of the current European Globalisation Adjustment Fund to digitisation/automation Preparing for socio-economic changes

  14. Working Group 2 40% women The AI High-Level Expert Group 52 Experts Chair: Pekka Ala-Pietilä Working Group 1 23 companies Product: draft AI Ethics Guidelines Product: Policy & Investment Recommendations 19 academia Vice-Chair: Nozha Boujemaa Vice-Chair: Barry O'Sullivan 10 civil society

  15. Goal: Making it the world-wide reference platform for thinking and reflection on AI Full mobilisation of all stakeholders needed: industry, academia, civil society Supported by high-level expert group on AI and an online platform Joint reflection on the future of AI in Europe The European AI Alliance

  16. Draft AI Ethics Guidelines • Consultation to gather feedback: • DDL 01/02 • Everyone can participate via EU AI Alliance: https://ec.europa.eu/futurium/en/ai-alliance-consultation • Next steps: • Finalisation in March & presentation in April • And then? Not yet established but stakeholders will in principle be able to endorse the guidelines formally (self-regulation) • “Trustworthy AI brand?” • Periodic evaluation & adaptation

  17. Humans staying in control Transparency Bias Job losses & inequality Security What are the ethical challenges of artificial intelligence?

  18. Draft AI Ethics Guidelines • Chapter 1: • Fundamental Rights & 5 Core Principles • Beneficence (do good), Non-Maleficence (do no harm), Autonomy of humans, Justice, and Explicability. • Chapter 2: • 10 Requirements for Trustworthy AI • Accountability, Data Governance, Design for all, Governance of AI Autonomy (Human oversight), Non-Discrimination, Respect for Human Autonomy, Respect for Privacy, Robustness, Safety, Transparency. • Technical & Non-technical methods • Chapter 3: • Non-exhaustive assessment list based on questions • Use cases: healthcare diagnosis, self-driving car, insurance premiums, law enforcement

  19. Reach out to international partners and promote the AI ethics guidelines Organise an international ministerial meeting on AI in April Publish a report on the broader implications of AI for the liability and safety frameworks Draft AI ethics guidelines by April 2019 Coordinated action plan on AI – Develop trustworthy AI

More Related