As regulatory frameworks evolve, businesses face increasing pressure to ensure third-party AI systems meet ethical and legal standards. This session will delve into the complex dynamics between developers, deployers, and users, exploring strategies for navigating liability, compliance, and accountability in uncertain regulatory environments.

-           Establishing clear contracts and accountability frameworks to address liabilities in third-party AI system deployments.

-           Developing robust evaluation processes to assess vendor compliance with ethical and regulatory requirements.

-           Implementing continuous oversight to align third-party systems with emerging laws and organizational responsibility standards.

Identifying and analyzing the right use cases is key to harnessing AI's transformative potential responsibly. This session dives into practical approaches for auditing use cases, assessing potential risks, bias, hallucinations and integrating AI into workflows, achieving efficiencies, and navigating challenges to deliver measurable business value.

-           Evaluating workflows to identify high-impact use cases aligned with organizational goals and ethical considerations.

-           Prioritizing AI initiatives based on feasibility, ROI, and alignment with responsible innovation principles.

-           Establishing feedback loops to refine AI integration and adapt to evolving organizational needs.