
Week 2:
Risks & Challenges

Course Details
Anik Bose is the executive director of EAIGG, and is a General Partner at Benhamou Global Ventures. He has over 25 years of active venture capital and corporate development experience, with particular emphasis on transaction structuring and strategic planning. This experience includes seven years as SVP, Corporate Development at 3Com Corporation and eighteen years at BGV. In his role at SVP, Corporate Development at 3Com he played a significant role in company strategy, managed a $250MM corporate venture fund, spearheaded 20 venture capital investments, and executed numerous spin-out transactions, as well as several large M&A transactions totalling over $1.4 Billion in value. Bose has extensive global experience as a private company director, having served on the board of several 3Com Ventures, BGV portfolio companies and H3C. Bose holds a BA in Economics from the University of Delhi, India, as well as an MBA from Boston College.
Anik Bose
Diagnose and identify Data Ethics traps.
Identify sources of bias in AI systems and implement strategies for fair AI.
Recognize and address privacy and security threats in AI deployments.
Learning Objectives
Topics Covered
Data Ethics
The Five Key Principles
The Data Ethics Canvas
Building Guardrails: Startup Innovation
Bias & Fairness
Understanding Sources of Bias
Individual vs. Group Fairness
Strategies for Bias Mitigation
Privacy, Security & Data Protection
GenAI Threats
Prompt Injection
Data Poisoning
Data Leakage
Measures for Ensuring Data Privacy
Building User Trust
Effective Communication of Transparency Measures
Transparency & Trust in AI Systems
