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Lecture: Introduction to Human-centered AI

Lecture: Introduction to Human-centered AI

Administrative information


Title Introduction to Human-centered AI
Duration 60
Module A
Lesson Type Lecture
Focus Ethical - Ethics Fundamentals
Topic Ethics of AI

 

Keywords


Technology Regulation, Social Control of Technology, Technological lock-in, Future of Labor, Machine Ethics, Moral inclusion of machines, IEEE P7000, AIA,

 

Learning Goals


  • Learner understands the motivations of AI Ethics studies.
  • Learner is aware of AI's lock-in potential.
  • Learner understands the historical context of modern technology regulation.

 

Expected Preparation


Moral Self-Consideration by an AI (Evil AI Cartoons)
Moral Self-Consideration by an AI (Evil AI Cartoons)

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

 

Lesson Materials


  • video lecture, part 1: Historical background for the social control of technology (7:40)
  • video lecture, part 2: Issues of Ethics of AI, Future of Work (7:15)
  • video lecture, part 3: Issues of Ethics of AI, Technological Lock-in (6:47)
  • video lecture, part 4: Issues of Ethics of AI, Machine Ethics (4:40)
  • video lecture, part 5: Issues of Ethics of AI, Moral Inclusion (3:17)
  • video lecture, part 6: Forms of Norms for Ethics of AI (5:13)

The materials of this learning event are available under CC BY-NC-SA 4.0.

 

Instructions for Teachers


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


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

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

 

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

HCAIM Consortium

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HCAIM Consortium
Laatst gewijzigd
2024-05-15 11:01:41
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Gebruikte Wikiwijs Arrangementen

HCAIM Consortium. (z.d.).

Acknowledgement

https://maken.wikiwijs.nl/198386/Acknowledgement

HCAIM Consortium. (z.d.).

Lecture: Duty Ethics

https://maken.wikiwijs.nl/198966/Lecture__Duty_Ethics

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