Administrative information

Learning Events to be Completed Before

None.

Obligatory for Students

None.

Optional for Students

• Any sources on the history of 20th century technology
• Coeckelbergh, Mark. AI ethics. MIT Press, 2020. Chapters: 1 (Intro). Other chapters are also very good but optional (e.g., 2 - Superintelligence, 5 - Technology, 9 - Bias).

References and background for students:

• The ethical issues around AI are numerous and diverse.
• These problems generated an especially large amount of attention from various groups, like policymakers, industry bodies, practitioners and the general public.
• The most important de-jure or proto-de-jure and soft law outcomes of this attention are the following:
  • EU ARTIFICIAL INTELLIGENCE ACT 21.4.2021 COM(2021) 206 (to be ratified in 2022?)
  • IEEE 7000-2021 Standard Model Process for Addressing Ethical Concerns During System Design (accepted in spring of 2021)
  • UNESCO Recommendation on the Ethics of Artificial Intelligence (adopted by members in November 2021)
  • OECD Recommendation of the Council on Artificial Intelligence (2019)
  • Some of the more important supporting theoretical documents:
  • IEEE Ethically Aligned Design principles (2019)
  • EU White Paper on Artificial Intelligence COM(2020) 65 (2020)
  • EU AI HLEG Ethics Guidelines for trustworthy AI (2019)
  • Preparing for the future of artificial intelligence (A report to the white house) 2016
  • Some derivative works with normative intent:
  • The World Economic Forum's AI C-Suite Toolkit (January 2022)
  • EU AI Alliance's ALTAI - Assessment List for Trustworthy Artificial Intelligence (2020)

Recommended for Teachers

• Stanford Encyclopedia of Philosophy (SEP), Machine Ethics: https://plato.stanford.edu/entries/ethics-ai/#MachEthi
• SEP Automation and Employment: https://plato.stanford.edu/entries/ethics-ai/#AutoEmpl
• SEP Artificial Moral Agents: https://plato.stanford.edu/entries/ethics-ai/#ArtiMoraAgen
• Héder, M. (2021). AI and the resurrection of Technological Determinism. INFORMÁCIÓS TÁRSADALOM: TÁRSADALOMTUDOMÁNYI FOLYÓIRAT, 21(2), 119-130.
• Coeckelbergh, Mark. AI ethics. MIT Press, 2020. Chapters: 1-2 (Intro & Superintelligence), 5 (technology), 9 (Bias). Other chapters are also very good but optional.
• Ethics guidelines for trustworthy AI, https://op.europa.eu/en/publication-detail/-/publication/d3988569-0434-11ea-8c1f-01aa75ed71a1
• Collingridge, D. (1982). The social control of technology. Open University Press.
• Kazim, Emre and Koshiyama, Adriano, A High-Level Overview of AI Ethics (May 24, 2020). http://dx.doi.org/10.2139/ssrn.3609292

 

Topics to cover

• History of social control of technology from WWII until present time (15mins)
  • Why society wants to control more and more what engineers are doing
• Why is it urgent now? (10mins)
  • Short history of AI and recent breakthroughs
• Current wave of legislation and ethical guidelines (10mins)
  • like eg. EU AIA, IEEE P70xx, OECD, UNESCO, WEF...
• Why is this master important? (10mins)
  • Systematically learning about ethics of AI
• Short overview of the master HCAIM/Module A (15mins)
  • Goal: what will they know at the end, which capabilities will they practise, etc
  • What topics will be discussed during the course?

 

Connections to other material

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• Current wave of legislation will be revisited in Module C.
• Recent breakthroughs in AI: Module A material (Foundations of AI)