Module Code - Title:
IN6031
-
ARTIFICIAL INTELLIGENCE AND GOVERNANCE
Year Last Offered:
N/A
Hours Per Week:
Grading Type:
N
Prerequisite Modules:
Rationale and Purpose of the Module:
This introductory module explores the evolution of artificial intelligence with a focus on governance, examining the historical roots, philosophical underpinnings, and the expansive role AI plays in contemporary business environments. This module will provide students with a comprehensive understanding of AI without requiring a technical understanding of AI. The focus of the module is on the social and business contexts of AI. Accordingly, the module will provide an introductory level of critical thinking in relation to AI from multiple perspectives.
Syllabus:
Syllabus: The module will develop a comprehensive contextual understanding of the history, changing risk and governance regimes relating to Artificial Intelligence and how the technologies are transformed from theory to industry and commercial applications by investigating the key thinkers and innovations over the past century.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
On successful completion of this module, students will be able to: 1. Identify the fundamental principles of technology governance and key regulatory AI/data regimes such as the GDPR and the AI Act. 2. Conceptualise the challenges relating to AI governance. 3. Evaluate the utility of risk and ethical approaches and theories in the context of AI commercialisation and business. 4. Demonstrate an ability to interrogate the governance opportunities and limitations of AI technologies.
5. Critically evaluate the concepts of data, AI, and governance to support decision-making.
Affective (Attitudes and Values)
On successful completion of this module, students will be able to: 1. Demonstrate an appreciation of the possible challenges in developing informed and accurate conceptual understanding of AI governance. 2. Show an awareness of the core concepts of AI, and governance across various contexts. 3. Operationalise more informed, nuanced and pragmatic understanding of the many societal, ethical and legal challenges that AI commercialisation and innovation presents.
Psychomotor (Physical Skills)
n/a
How the Module will be Taught and what will be the Learning Experiences of the Students:
The learning format is one of engagement learning, problem-solving, and deep learning (pedagogical theory) to help students learn critical thinking skills to critically analyse the development and broader social and ethical considerations of AI and its dominance as a new modern industry. In terms of the UL Graduate Attributes, this module will help to produce graduates who are ethically responsible and curious. They will be able to think critically about AI and its role in industry and beyond.
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
Alan Turing (1950)
Computing Machinery and Intelligence
, Mind
Luciano Floridi (2021)
Ethics, Governance, and Policies in Artificial Intelligence
, Springer
McCarthy and Hayes (1969)
Some Philosophical Problems from the Standpoint of Artificial Intelligence
, Science Direct
Mark Bevir (2012)
Governance: A Very Short Introduction
, Oxford
Murray Shanahan (2024)
Talking about large language models
, ACM
Other Relevant Texts:
Programme(s) in which this Module is Offered:
MSCETITFA - COMMUNICATIONS, EMERGING TECHNOLOGIES AND INDUSTRY PRACTICES
Semester(s) Module is Offered:
Autumn
Module Leader:
martin.cunneen@ul.ie