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  8. Micro-Credential in Artificial Intelligence and Society

Teaching & Learning

Micro-Credential in Artificial Intelligence and Society

CMPU9019, 10 ECTS

This micro-credential is designed and delivered by TU Dublin's Workday Professor of Technology and Society, Prof. Taha Yasseri. It is not delivered by the Learning, Teaching and Assessment (LTA) team, but its credits can be used as part of the LTA professional development pathways.

The micro-credential explores the impact of artificial intelligence on society, critically analysing its ethical, policy, and governance implications. Participants will examine issues such as bias and fairness, automation and labour, privacy, misinformation, and human-AI collaboration. Through interdisciplinary discussions, they will develop a nuanced understanding of AI’s societal challenges and opportunities. The micro-credential also introduces students to the technical aspects of AI at an introductory level.

It is delivered on-campus in Grangegorman (EQ-208) on Friday afternoons (3-5pm) in semester 2.

10 ECTS credits.

24 hours of class time, in-person.

176 hours of independent learning.

Participants must have an NFQ Level 8 (or higher) qualification to participate in this micro-credential.

Upon successful completion of this micro-credential the participant will be able to:

  1. Analyse ethical and policy challenges of Artificial Intelligence (AI) in society.
  2. Evaluate the impact of AI on labour, creativity, and governance.
  3. Identify risks related to AI bias, misinformation, and surveillance.
  4. Discuss AI’s role in shaping human interaction and decision-making.
  5. Apply interdisciplinary approaches to AI’s societal implications.
  6. Develop a critical perspective on AI governance and safety.
  7. Critically discuss the technical aspects of AI at an introductory level.

Research Essay (3,000 words): 60%

In class presentations and discussions: 40%

Introduction to AI and Society

An overview of artificial intelligence, its history, key concepts, and its growing role in society.

Ethics and Bias in AI

Exploring algorithmic bias, fairness, and ethical concerns in AI decision-making.

Automation and the Future of Work

Analyzing how AI-driven automation is transforming industries and labor markets.

Privacy, Surveillance, and AI

Discussing AI-driven surveillance, data privacy, and the implications for civil liberties.

AI and Misinformation

Examining AI's role in generating and combating misinformation, deepfakes, and media manipulation.

AI in Governance and Policy

Evaluating AI’s use in policymaking, government services, and law enforcement.

AI and Creativity

Exploring AI’s impact on creative fields such as music, art, and literature.

AI and Human Interaction

Studying AI in social contexts, including human-AI collaboration, chatbots, and emotional AI.

AI in Education and Learning

Investigating how AI is reshaping education, learning technologies, and personalised tutoring.

AI and Global Inequality

Examining AI’s role in economic disparity, technological divides, and access to resources across different regions.

Risks, Safety, and the Future of AI

Debating existential risks, AI governance, and responsible AI development.

AI and Society – Final Reflections

A synthesis of key themes discussed in the course and future directions for AI in society.

In 2026-27, classes take place on Friday afternoons from 3-5pm in EQ-208 (Grangegorman) during semester 2, from 29 January to 7 May 2027.

Apply here for 2026-27 (TU Dublin staff only).