Last modified: 08 Jun 2023 15:16
The course aims to introduce students to the legal challenges raised by Artificial Intelligence. It aims at offering an overview of the applicable legal framework, critically discussing its potential shortcomings in concrete case scenarios. The course will focus on the UK context, but – given the cross-border nature of the topics involved - it will be open to a comparative perspective.
| Study Type | Undergraduate | Level | 4 |
|---|---|---|---|
| Term | First Term | Credit Points | 30 credits (15 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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AI is an evolving field of computer science whose applications have been deployed in many sectors of our daily life. From complex medical applications that can identify certain pathologies through data mining to a basic online search, AI applications hold a great potential to support or enhance human activities. However, the possibilities they are opening up also raise a number of challenges from an ethical and legal perspective.
The course aims to introduce students to the legal challenges raised by Artificial Intelligence (AI), the legal framework applicable to it, and the policy initiatives now under discussion to regulate such a field in Scotland, UK, and the EU.
The course will be organised around six main topics, such as:
1) Introduction to AI applications, ethical guidance, and the existing legal landscape.
2) Legal personhood for AI systems
3) Explainability of algorithmic decision making
4) Liability of AI systems
5) AI-generated content and inventions: intellectual property issues
6) AI regulation and the challenges for international private law.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | 13 | Feedback Weeks | 16 | |
| Feedback |
Students will have to write a case comment to a decision that will be assigned by the teaching staff. The feedback will be provided in written form and in accordance with the Common Grading Scale. The feedback will be provided within three weeks as of submission, in accordance with the School’s and University’s policies. |
Word Count | 3000 | |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | To gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence. |
| Procedural | Apply | To apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots. |
| Reflection | Create | To communicate orally and in writing information, advice and choices in an effective and persuasive manner. |
| Reflection | Evaluate | To evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions. |
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | 20 | Feedback Weeks | 23 | |
| Feedback |
The feedback will be provided in written form and in accordance with the Common Grading Scale. The feedback will be provided within three weeks as of submission, in accordance with the School’s and University’s policies. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | To gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence. |
| Procedural | Apply | To apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots. |
| Reflection | Create | To communicate orally and in writing information, advice and choices in an effective and persuasive manner. |
| Reflection | Evaluate | To evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions. |
There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | To apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots. |
| Conceptual | Understand | To gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence. |
| Reflection | Create | To communicate orally and in writing information, advice and choices in an effective and persuasive manner. |
| Reflection | Evaluate | To evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions. |
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