Navigating AI Accountability & Algorithmic Bias
International Workshop on Ethics, Fairness, and Governance in Artificial Intelligence
Virtual / Online
Mentor Based
Advanced
1 Hours
19 -May -2025
5 PM IST
About
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.
Workshop 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
Workshop Structure
- 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”
Intended For
- Legal scholars
- AI researchers
- policymakers
Important Dates
Registration Ends
2025-05-19
Indian Standard Timing 1 PM
Workshop Dates
2025-05-19 to 2025-05-19
Indian Standard Timing 5 PM
Workshop 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
Mentor Profile
Fee Structure
List of Currencies
FOR QUERIES, FEEDBACK OR ASSISTANCE
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
Participants will gain a unique interdisciplinary advantage in roles such as:
- Ethical AI Officer
- AI Policy and Risk Analyst
- Responsible AI Developer
- Data Governance Consultant
- Fairness Auditor
- AI Ethics Researcher
Job Opportunities
- Multinational corporations with AI ethics teams
- Research organizations and think tanks
- Policy bodies and international governance groups (e.g., OECD, UN, EU AI boards)
- Startups focusing on explainability, AI for good, or compliance tech
- Law firms and regulators working on AI policy and bias mitigation
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Related Courses
Life Cycle Assessment for …
Digital Pathology
Advanced Data Visualization …
In Silico Molecular Modeling …
Recent Feedbacks In Other Workshops
Thank you for your effort. You did a great job.
Good workshop
informative