Sign In
Register

Register your interest

Secure your pass

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Brian
Green
Chief AI Ethics Officer
Brian Green is the founding Chief AI Ethics Officer and strategist at Health-Vision.AI, LLC. With a strong foundation in data analytics, digital innovation, and AI strategy, Brian consults with startups and small—to medium-sized businesses to align AI use cases and integrations with business goals. He specializes in helping organizations navigate the complexities of responsible AI adoption, ensuring strategies are both impactful and sustainable. Brian brings 30 years of experience across diverse industries, leveraging data-driven insights to optimize business operations, improve decision-making, and foster digital transformation. A skilled facilitator of multi-stakeholder governance groups and public-private sector collaborations, he excels at uniting diverse perspectives to create actionable strategies that balance innovation with accountability. As a thought leader in AI integrations, Brian has guided cross-functional teams to identify high-value opportunities, develop ethical governance frameworks, and execute transformative initiatives. His hands-on work has included LLM evaluations and red-teaming. His socio-technical expertise and strategic mindset enable him to help organizations bridge the gap between vision and implementation, driving operational excellence and long-term growth.
05 March 2025 15:20 - 15:40
Panel discussion: Highly regulated environments - optimizing generative AI systems in compliance-critical industries
Regulated sectors like financial services and healthcare face distinct challenges in adopting new innovations, where stringent compliance requirements and the risk of penalties often lead to heightened risk aversion. High-quality data is crucial for successful generative AI deployments, demanding rigorous standards and control. In this interactive session, hear from industry experts in finance and healthcare as they delve into the technical complexities and regulatory hurdles of building AI solutions within highly controlled environments.