Administrative information

Title	Strengths and Limitations of existing laws - a deeper dive
Duration	60 minutes
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

Slides

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

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

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