Course Details in 2024/25 Session

Module Title	LM Governance and Politics of AI
School	Government
Department	Public Administration and Poli
Module Code	08 40112
Module Lead	Slava Jankin
Level	Masters Level
Credits	20
Semester	Semester 1
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-10 hours Seminar-20 hours Guided independent study-170 hours Total: 200 hours
Exclusions
Description	This module examines the complex challenges and considerations surrounding adoption of artificial intelligence (AI) capabilities in the public sector. It provides an overview of ethical, legal and social implications of using AI for governance and policymaking, and explores approaches for developing responsible AI solutions aligned with public values. The module covers research methods including literature reviews, data analysis, synthesis, and report writing. It also covers global developments in AI regulation and policy with implications for public sector governance. It equips students with knowledge of public sector dynamics including organisational behaviour, bureaucratic processes, regulatory environments, and stakeholder ecosystems. Through interactive activities and case studies, students will engage with real-world examples of AI deployment dilemmas and policy responses across different national and organisational contexts. The module nurtures students' written, oral and research skills to communicate understanding of the benefits and trade-offs of AI automation in pursuit of public sector goals, while ensuring meaningful human oversight and ethical considerations are incorporated throughout AI system design and implementation. By the end of the module, students will be able to operate effectively in the complex political environments surrounding adoption of transformative technologies in the public sector.
Learning Outcomes	By the end of the module students should be able to: Analyse key challenges and considerations in adoption of AI systems for public sector governance and policymaking Utilise research skills and methods, including literature reviews, data analysis, and report writing Evaluate ethical, legal and social implications of deploying AI solutions in the public sector Examine developments related to AI governance frameworks and regulations relevant to the public sector Demonstrate ability to assess AI system risks and trade-offs against public sector goals and values
Assessment
Assessment Methods & Exceptions	Assessment: 1000-word essay (75%); group project which also involves the group presenting the report 10 mins (25%): 2500-word written report Reassessment: Students will be reassessed by failed component. The re-assessment method for the essay (75%) is a 1000-word essay. The re-assessment method if a student fails the group component (25%) will be a 700-word written report reflecting on the group project and accompanying written presentation slides communicating the results of the research.
Other
Reading List