Speaker: Senthil Kumar – Enterprise Data Architect, World Vision International
Description
A systematic review of how Fairness, Accountability, Transparency, and Ethics (FATE) are defined and studied in the context of AI across various sectors such as finance, banking, telecom, humanitarian organizations etc… While fairness dominates current discourse, accountability and transparency remain critically underexplored. The findings underscore the urgent need to move from ethical intentions to actionable practices-ensuring AI is not only designed with FATE principles, but also responsibly deployed, understood, and governed in real-world applications
Key Takeaways:
• There is a clear gap between ethical principles and practical implementation, highlighting the need for actionable frameworks and governance models.
• Fairness dominates the AI ethics landscape, leaving accountability and transparency lagging behind in both research and real-world application
• Most research focuses on technical aspects and ignores the experiences of non-technical people
• Organizations should focus on deploying AI responsibly and making its decisions understandable, so systems remain trustworthy, fair, and aligned with social values
