production
Skip to Content

LS402T: LAW AND ARTIFICIAL INTELLIGENCE (2022-2023)

Last modified: 31 May 2022 13:30


Course Overview

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.

Course Details

Study Type Undergraduate Level 4
Term First Term Credit Points 25 credits (12.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Rossana Ducato

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme
  • Either Law (LS) or Bachelor Of Laws With International Exchange (With Honours)
  • One of Programme Level 3 or Programme Level 4 or Programme Level 5

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

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.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Essay

Assessment Type Summative Weighting 50
Assessment Weeks 13 Feedback Weeks 16

Look up Week Numbers

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 2500
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandTo gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence.
ProceduralApplyTo apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots.
ReflectionCreateTo communicate orally and in writing information, advice and choices in an effective and persuasive manner.
ReflectionEvaluateTo evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions.

Exam

Assessment Type Summative Weighting 50
Assessment Weeks 20 Feedback Weeks 23

Look up Week Numbers

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.  

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandTo gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence.
ProceduralApplyTo apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots.
ReflectionCreateTo communicate orally and in writing information, advice and choices in an effective and persuasive manner.
ReflectionEvaluateTo evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions.

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandTo gain knowledge and understanding of the foundations of the legal framework applicable to artificial intelligence.
ProceduralApplyTo apply the knowledge and concepts acquired in concrete case scenarios, such recommender systems, algorithmic discrimination, liability of robots.
ReflectionEvaluateTo evaluate the legal implications of artificial intelligence, their impact on society, policymaking, and the future of legal professions.
ReflectionCreateTo communicate orally and in writing information, advice and choices in an effective and persuasive manner.

Compatibility Mode

We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.