As AI-driven tools increasingly influence hiring, performance evaluation, and career progression, many of these decisions are shaped by invisible algorithms that operate with limited transparency. While AI brings efficiency and scale to HR processes, it also introduces significant risks related to bias, fairness, data privacy, and regulatory compliance.

This session, “The Invisible Algorithm: When AI Decides Careers—Ensuring Fairness, Privacy & Trust,” will feature a fireside chat with an industry expert, followed by an interactive discussion. The conversation will unpack how AI is being used across HR decision-making, the hidden risks involved, and the governance measures required to ensure responsible, fair, and lawful adoption.

The session will focus on:

• Where and how AI is used across HR workflows such as hiring, screening, and performance management

• Risks related to algorithmic bias, automated decision-making, and lack of transparency

• Data protection and privacy considerations in AI-powered HR systems

• The role of human oversight, accountability, and explainability

• Practical governance approaches to embed fairness, privacy, and trust by design