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

Product Accountability and Copyright ppt Slides

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

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

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