AI in Justice Systems: Theory and Research

Module overview

This thought-provoking course introduces students to the AI technologies, and more broadly, the algorithms currently informing criminal justice policy and practice in contemporary justice systems. Theory and research from the fields of criminology and sociology are used to explore the complex role of the technologies. Students are also introduced to digital research methods for researching criminological and sociological topics to influence criminal justice policy. Additionally, the module considers the methodological and ethical issues that arise when researching topics such as online radicalisation and victimisation, for criminal justice policy impact.

While the module focuses on England and Wales, in order to deepen students’ appreciation of the merits and demerits of AI technologies and algorithms more broadly, and perceive common problems inherent in the technologies, international comparisons are embedded throughout the module.

Participation in this module does not require prior knowledge of how algorithms are operationalised or their technical dimensions. The module focuses on criminological and sociological perspectives on their use and their broader social, political, and cultural implications.

Aims and Objectives

Learning Outcomes

Having successfully completed this module you will be able to:

Critically assess and interpret policy, data, theory, and literature.
Develop superior problem-solving, critical thinking, and research skills, using library and electronic resources.
Generate and present verbal and written arguments.
Work both independently and constructively with others

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

Critically examine theoretical and empirical accounts of the use of AI in justice systems and the implications for diverse groups.
Evaluate the contributions of the extant multidisciplinary literature on the prospects, challenges, and governance of such technologies.
Understand, apply, and critically assess relevant laws and their policy implications, specifically in relation to the use of AI for surveillance, investigation, and crime prediction.

Learning and Teaching

Teaching and learning methods

This module is taught through eleven, two-hour seminars. Learning will occur through reading, analysis, and discussion of essential and further readings.

Study time
Type	Hours
Independent Study	148
Seminar	2
Total study time	150

Assessment

Assessment strategy

Essay (100%)

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution

Module overview

Aims and Objectives

Learning Outcomes

Learning Outcomes

Knowledge and Understanding

Syllabus

Learning and Teaching

Teaching and learning methods

Assessment

Assessment strategy

Summative