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LX402T: LAW AND ARTIFICIAL INTELLIGENCE (2022-2023)

Last modified: 07 Jul 2022 13:40


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
Session First Sub Session Credit Points 30 credits (15 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Rossana Ducato

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

  • Legal Studies (Ma Honours) (LX)
  • One of Programme Level 3 or Programme Level 4 or Programme Level 5
  • Any Undergraduate Programme

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?

Yes

One or more of these courses have a limited number of places. Priority access will be given to students for whom this course is compulsory. Please refer to the Frequently Asked Questions for more details on this process.


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.


Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Seminar during University weeks 9 - 11, 13, 15, 17

More Information about Week Numbers


Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Summative Assessments

Exam

Assessment Type Summative Weighting 50
Assessment Weeks 20 Feedback Weeks 23

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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.

Essay

Assessment Type Summative Weighting 50
Assessment Weeks 13 Feedback Weeks 16

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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
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.

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