AI Bias And Responsibility: Exploring Its Deep Veins for Ethics & Accessibility
AI doesn’t bear the responsibility for bias—its creators and users do.
In this insightful fireside chat, Shreya Krishnan, MD, AnitaB.org India and Radhi Chagarlamudi, Group VP, Engineering, UKG, explore AI bias in the workplace, the ethics of AI decision-making, and how leaders can foster responsible AI adoption.
From data transparency to AI as a co-pilot rather than a decision-maker, this discussion unpacks the steps needed to create fair, inclusive, and accessible AI for all.
AI doesn’t bear the responsibility for bias—its creators and users do.
In this insightful fireside chat, Shreya Krishnan, MD, AnitaB.org India and Radhi Chagarlamudi, Group VP, Engineering, UKG, explore AI bias in the workplace, the ethics of AI decision-making, and how leaders can foster responsible AI adoption.
From data transparency to AI as a co-pilot rather than a decision-maker, this discussion unpacks the steps needed to create fair, inclusive, and accessible AI for all.