Ensuring the safety of agentic AI systems requires thorough testing and verification methods. This session will dive into the best practices for testing autonomous AI, focusing on verification protocols that ensure the systems behave predictably and ethically under all conditions.

·       Exploring testing methodologies for ensuring the safety of autonomous AI systems.

·       Implementing verification processes that guarantee compliance with governance standards.

·       Addressing the challenges of testing agentic AI and its ethical implications.

AI’s increasing role in workplace decisions, from hiring to performance management, raises important ethical concerns. This session will explore the ethical implications of AI-driven decisions, focusing on transparency, fairness, and accountability. We will address the role of governance in ensuring AI systems are used responsibly and in ways that uphold organizational values and employee rights.

·       Examining the ethical impact of AI-assisted decisions on the workforce.

·       Discussing strategies for ensuring fairness, transparency, and accountability in AI algorithms.

·       Managing the ethical challenges of algorithmic management in the workplace.