📅 Module 1 – Comparative Analysis of AI Bias Regulation

• Lecture: “Comparative Analysis: EU AI Act vs. U.S. Sectoral Laws on Biased Hiring Algorithms” – Explore the differences in regulatory approaches to managing algorithmic bias, focusing on biased hiring algorithms in the EU and U.S.
• Case Study: “The COMPAS Recidivism Tool: Legal Implications and Academic Critiques” – Analyze the ethical, legal, and social concerns surrounding the COMPAS recidivism tool, a tool used in the U.S. legal system to assess the risk of re-offending.

📅 Module 2 – Developing Bias Audits & Ethical AI Practices

• Group Task: “Developing a 10-Point Bias Audit Checklist” – Work collaboratively to create a practical checklist that evaluates potential biases in AI systems.
• Role-Play: “Debate Between Developer and Regulator Perspectives” – Engage in a role-play exercise to understand the different viewpoints between AI developers and regulators when addressing algorithmic bias.
• Submission: “Presentation of Polished Bias Audit Checklists” – Present your final, polished audit checklist, demonstrating your understanding of bias detection and mitigation strategies.

Course Outcomes

• Identify and Assess Algorithmic Bias: Gain a thorough understanding of how bias enters AI systems and how to evaluate its impact.
• Understand Fairness Metrics and Bias Mitigation: Learn the key fairness metrics and strategies to mitigate algorithmic bias in AI systems.
• Gain Working Knowledge of Tools: Get hands-on experience with tools like AIF360 and Fairlearn to evaluate and mitigate bias.
• Navigate the Regulatory and Ethical Landscape: Understand the current regulatory and ethical standards for AI governance and accountability.
• Develop Inclusive and Accountable AI Frameworks: Learn to create frameworks that promote fairness, transparency, and accountability in AI development.
• Receive an International Certificate of Participation: Upon successful completion, receive a certificate to demonstrate your expertise in algorithmic bias and AI accountability.