Course Code: AIB301
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Synopsis

This course provides a comprehensive introduction to the concepts and practices of responsible Artificial Intelligence (AI) in business contexts. The course explores how organisations can deploy AI technologies ethically and sustainably while aligning them with organisational goals. Students will learn core principles of responsible AI such as fairness, accountability, transparency, explainability, and data privacy, and explore how these principles are applied across various business functions such as human resources and marketing. Through case studies and governance frameworks from Singapore and abroad, the course emphasises ethical decision-making, corporate responsibility, and stakeholder trust. At the end of this course, students will be equipped to evaluate and recommend responsible AI practices that balance innovation with ethical and sustainability considerations.
Level: 3
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

  • Introduction to AI and Its Role in Business
  • Foundations of AI Ethics and Responsible Innovation
  • Potential Ethical Issues in AI Adoption
  • Principles of Responsible AI
  • AI Governance and Regulatory Frameworks
  • Algorithmic Bias, Fairness and Inclusion
  • Data Governance, Privacy, and Security
  • Explainable and Interpretable AI
  • Responsible AI Applications and Use Cases
  • Human Oversight in AI Decision-Making
  • Societal Impacts of AI Adoption
  • Balancing AI Opportunities and Risks in Practice

Learning Outcome

  • Discuss fundamental concepts of responsible AI in business
  • Differentiate AI principles based on their relevance in a given business context
  • Assess the impacts of AI on society, the environment and other stakeholders
  • Analyse potential risks and ethical concerns in AI adoption within a given business context
  • Apply principles of responsible AI in a given business context
  • Recommend appropriate responsible AI practices in a given business context