Administrative Information
| Title | Strengths and Limitations of existing laws - a deeper dive |
| Duration | 60 min |
| Module | C |
| Lesson Type | Lecture |
| Focus | Ethical - Compliance, Legality and Humanity |
| Topic | EU and International Legislation/Frameworks on data, AI, human rights and equality |
Keywords
privacy,liability,transparency,discrimination,ethics,
Learning Goals
- Understand the strengths of existing AI laws:
- Protection of Privacy
- Non-Discrimination
- Intellectual Property
- Liability Framework
- Understand the limitations of existing AI laws:
- Rapid Technological Advancement
- Complexity and Interpretation
- Transparency and Accountability
- Enforcement Challenges
- Bias and Discrimination
- Lack of Global Consensus
- Ethical Gaps
- Access to Justice
- Regulatory Capture
Expected Preparation
Learning Events to be Completed Before
None.
Obligatory for Students
- Rowena Rodrigues: Legal and human rights issues of AI: Gaps, challenges and vulnerabilities. Journal of Responsible Technology 2020/12. Vol. 4.
Optional for Students
None.
References and background for students
None.
Recommended for Teachers
None.
Lesson materials
Instructions for Teachers
Teacher should present the material according to the outline time schedule.
Outline
| Duration (min) | Description |
|---|---|
| 10 | A risk-based approach, future-proof legislation of AI in the EU |
| 25 | EU's AI Act in details |
| 20 | Data governance and auditing algorithms |
| 10 | Conclusions |
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.