While generative AI creates content, agentic AI performs tasks with limited human oversight. In a corporate setting, Agentic AI can be used to streamline workflows and conserve resources. In this deep dive session, explore high stakes governance and legal issues posed by the use of agentic AI, as well as real-world best practices for managing new, emerging risk factors. In addition to speaker-prepared reference materials, benefit from an invaluable opportunity for extended Q&A.

As the landscape is rapidly, ensure that you join this workshop to discuss a host of new, pressing topics, including:

• Breaking down challenges and opportunities of AI Agents (following playbooks) and Agentic AI (solving problems)
• Exploring current state legislation including the California Privacy Protection Act’s proposed standards for regulating Automated Decision Making Technology ADMT
• Clarifying cybersecurity requirements and required risk assessments
• Applying the balance test between potential bias and operational efficiencies
• Reviewing the layers of required transparency, fairness and consumer control when deploying ADMT
• Data quality guidelines (robust, unbiased, high quality) to ensure desired outcomes
• Aligning AI systems with regulatory requirements to ensure ethical and legal operations
• Involving diverse stakeholders from various disciplines in AI development frameworks and methodologies
• Exploring and adhering to Frontier Safety Frameworks
• How and to what extent agentic AI can enhance efficiency and boost profitability
• Addressing new, emerging legal issues, including liability frameworks, regulatory requirements, ethical considerations, data privacy and IP protection
• Key action points to take, such as contractual provisions, governance frameworks, stakeholder engagement and applicable laws