Navigating AI Accountability & Algorithmic Bias
International Workshop on Ethics, Fairness, and Governance in Artificial Intelligence
Skills you will gain:
About Program:
Navigating AI Accountability & Algorithmic Bias is a thought-provoking international workshop focused on one of the most pressing challenges in AI deployment today—ensuring fairness, transparency, and responsibility in automated systems.
Participants will explore how bias enters datasets and models, assess real-world impacts of skewed algorithms, and examine regulatory frameworks and ethical standards for responsible AI development. With case studies spanning from hiring tools and facial recognition to legal tech and healthcare AI, the workshop is a vital platform for those building or evaluating AI with a conscience.
Aim: To equip participants with the critical understanding and practical strategies required to identify, evaluate, and mitigate algorithmic bias in AI systems while promoting ethical AI governance and accountability frameworks across disciplines.
Program Objectives:
- Raise awareness about the societal risks of algorithmic bias
- Enable technical and non-technical stakeholders to co-design ethical AI
- Train participants in evaluating and correcting unfair AI decisions
- Promote interdisciplinary collaboration between tech, policy, and law
- Prepare participants to engage with compliance and regulatory standards
What you will learn?
- Lecture: “Comparative Analysis: EU AI Act vs. U.S. Sectoral Laws on Biased Hiring Algorithms”
- Case Study: “The COMPAS Recidivism Tool: Legal Implications and Academic Critiques”
- Group Task: “Developing a 10-Point Bias Audit Checklist”
- Role-Play: “Debate Between Developer and Regulator Perspectives”
- Submission: “Presentation of Polished Bias Audit Checklists”
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- Legal scholars
- AI researchers
- policymakers
Career Supporting Skills
Program Outcomes
- Identify and assess algorithmic bias in AI systems
- Understand fairness metrics and bias mitigation strategies
- Gain working knowledge of tools like AIF360 and Fairlearn
- Learn the regulatory and ethical landscape for AI governance
- Develop frameworks for inclusive and accountable AI development
- Receive an international certificate of participation