Executive Course on Intellectual Property and Artificial Intelligence
29–30 September 2026 · Villa Barton, Geneva Graduate Institute · Centre on Knowledge Governance with Executive Education, IHEID
Faculty presentations from the course, listed by session. Slides are shared for course participants; please check with the author before citing or circulating.
Tuesday 29 September
AI 101
- Ben Cashdan — chair AI 101: Components and Challenges (view online)
- Luca Cominassi — discussant
- Teshager Dagne — discussant
- Susan Isiko Štrba — discussant
- Arul George Scaria — discussant
Copyright 101
- Tobias Schonwetter — presenter Copyright 101 (part 1) (PPTX)
- Carys Craig — presenter Copyright 101 (continued) (PPTX)
- Allan Rocha de Souza — discussant
Fair Use and AI Training
- Aman Gebru — lecture Fair Use and AI: The U.S. Perspective (PPTX)
- Jonathan Band — discussant
Comparative law on limitations and exceptions for AI training
- Sean Flynn — Research exceptions in comparative copyright Comparative research exceptions (Google Slides)
- Arul George Scaria — Recent developments in India A quick overview: ANI v. OpenAI (PDF)
- Luca Cominassi — EU TDM exceptions and current controversies
Wednesday 30 September
Remuneration
- Luca Schirru — Survey of national proposals Remuneration Models for GenAI (PDF)
- Arul George Scaria — India statutory licence proposal A New Licensing Proposal from India (PPTX)
- Allan Rocha de Souza — Brazil proposal
- Luca Cominassi — EU proposals
Copyrightability of outputs
- Carys Craig — Survey of approaches Copyright Law and AI Outputs, Part 1: Authorship and Ownership (Google Slides)
- Arul George Scaria — RAGHAV (Suryast) and DABUS (A Recent Entrance to Paradise) Diverging approaches in India and the US: two case studies (PPTX)
Copyright liability of outputs
- Jonathan Band — Review of US developments and analysis
- Carys Craig — Comparative approaches Copyright Law and AI Outputs, Part 2: Infringement and Liability (Google Slides)
- Allan Rocha de Souza — Images and likenesses
AI and Traditional Knowledge
- Teshager Dagne — presenter AI and Traditional Knowledge (PPTX)
- Vitor Ido — discussant Quick points for discussion: TK and AI (PPTX)
- Aman Gebru — discussant AI and TK: the central tension and options (PPTX)
Further decks will be added as faculty share them. Questions: events@knowledgegov.org
