Beyond the Breach: Analyzing AI System Failures, Safeguarding Data, and Addressing Ethical Risks

This session will provide a comprehensive look at the multifaceted risks inherent in AI systems, moving from external threats to internal failures and profound ethical challenges. We will delve into safeguarding AI systems against cyber threats and hacking, exploring strategies for preventing data breaches and information theft that target the sensitive data powering these models. The session will also analyze common causes of AI system failures, illustrating these points through real-world case studies that reveal unexpected vulnerabilities and consequences. Furthermore, we will navigate the critical ethical debates surrounding AI, addressing crucial issues like privacy violations, algorithmic bias, the risks in critical decision-making processes, and the ethical implications when AI systems are maliciously manipulated or fail. Attendees will gain a holistic understanding of the AI risk landscape, practical risk mitigation strategies, and insights into the ethical considerations essential for responsible and secure AI deployment in anticipation of evolving compliance and regulatory demands.