Administrative Information
Title | Who is responsible for AI mistakes? - Product responsibility, copyright problems |
Duration | 45-50 minutes |
Module | C |
Lesson Type | Interactive Session |
Focus | Practical - Socially Responsible AI |
Topic | Socio - Legal aspects for AI |
Keywords
Generative AI, responsibility, ChatGPT, accountability,
Learning Goals
- Understanding the responsibilities of developers in creating generative AI products.
- Analyzing the ethical implications of generative AI and its impact.
- Exploring strategies to ensure accountability and mitigate potential risks
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
- Review the proposed EU AI Act
Optional for Students
- Investigate the impact of Generative AI
References and background for students
- Arrieta, A. B., et al. (2020). Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82-115.
- Mittelstadt, B. D., et al. (2019). The ethics of algorithms: Mapping the debate. Big Data & Society, 6(2), 2053951716679679.
- Jobin, A., et al. (2019). Artificial intelligence: The global landscape of ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.
Recommended for Teachers
- Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. Cambridge Handbook of Artificial Intelligence, 316-334.
- Verma, D., et al. (2021). Ethical, social, and legal considerations in generative artificial intelligence. Nature Machine Intelligence, 3(4), 306-315.
Lesson materials
Instructions for Teachers
The class can be divided into groups of 3-4 students. Groups will separately discuss the Generative AI and copyright problems.
Creation of arts, other products Artificial intelligence and copyright (wipo.int)
Outline
Duration (min) | Description | Concepts | Activity |
---|---|---|---|
5 | Disscussion Topic - Generative AI - Accountability | Generative AI - ChatGPT, DALLE | |
15 | Discussion of challenges - Accountability, Copyright issue | AI regulations, Accountability | Student driven Discussion |
15 | Action was taken, and Possible Alternatives | Student driven Discussion | |
10 | Discussion of results and some additional points of discussion | Result discussion | |
5 | Conclusion and some open-ended questions | Food for thought |
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.