Administrative Information
| Title | Ethical, Professional and legal Aspects of HCAI applications |
| Duration | 60 min |
| Module | C |
| Lesson Type | Interactive Session |
| Focus | Ethical - Compliance, Legality and Humanity |
| Topic | EU and International Legislation/Frameworks on data, AI, human rights and equality |
Keywords
human-centred,human rights,transparency,liability,
Learning Goals
- The rapid advancements in Artificial Intelligence (AI) have ushered in transformative changes across industries, from healthcare and finance to education and entertainment. As AI technologies become more integrated into our lives, it is imperative to delve into the ethical, professional, and legal dimensions that govern their development and deployment, particularly when the focus is on human-centered applications. To facilitate a deeper understanding of these aspects, an interactive session was organized, bringing together experts, practitioners, and enthusiasts in the field.
- The interactive session aimed to foster an engaging and informative discussion on the multifaceted aspects surrounding human-centered AI applications. The agenda was structured to cover a range of topics, ensuring a comprehensive exploration of the subject matter.
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
- White Paper On Artificial Intelligence - A European approach to excellence and trust; Ethics Guidelines for Trustworthy AI by High-Level Expert Group on Artificial Intelligence; IEEE P7001: A Proposed Standard on Transparency
Optional for Students
None.
References and background for students
None.
Recommended for Teachers
None.
Lesson materials
Instructions for Teachers
Objective: Highlighting the importance of ethical, professional, and legal considerations in AI development.
Ethical Frameworks in AI (10 minutes) Discussion on the ethical challenges posed by AI applications. Introduction to prominent ethical frameworks, such as fairness, transparency, accountability, and privacy. Case studies highlighting real-world ethical dilemmas and their resolutions.
Breakout Groups (30 minutes) Participants split into small groups to analyze and discuss hypothetical AI scenarios, applying the concepts learned.
Group Presentations (10 minutes) Each group presents their insights and solutions from the breakout discussions.
Wrap-up and Closing Remarks (10 minutes) Summarizing key takeaways from the session.
Outline
| Duration (min) | Description |
|---|---|
| 10 | Ethical frameworks in AI |
| 30 | Breakout groups |
| 10 | Group presentations |
| 10 | Wrap-up and closing remarks |
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.