On-demand webinar

Mitigating AI risks:

A governance strategy for new threats, technologies, and new regulations

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In today's rapidly evolving AI landscape, emerging regulations and advancements in GenAI are intensifying the need for robust AI governance to reduce risks, accelerate innovation, and deliver on the full potential of AI. This webinar delves into the challenges data scientists and IT leaders face in making AI responsible, the emerging governance best practices and trends to watch, and the key drivers for establishing AI governance frameworks that evolve with the enterprise.

Join our webinar featuring industry experts and discover:

What AI governance is and why it matters
Trends and best practices on shaping the future of AI governance
How to navigate the complexities of the AI landscape
How to embed and enforce responsible AI policies
Ways to reduce risks and accelerate innovation with a scalable governance framework
Insights on creating an effective AI governance strategy – enabling risk mitigation, complying with regulations, and ensuring performance

Featured Speakers

Diya Wynn

Responsible AI Lead, AWS

Diya is a Responsible AI Lead at AWS who started and led customer engagement globally on Responsible AI. In 2023, she was named one of Business Insiders top 15 in Enterprise AI and top 100 in AI, one of 100 Brilliant Women in AI EthicsTM, and received the VentureBeat Women in AI - Responsible AI award. She makes Responsible AI practical and accessible. Her focus with organizations is the intentional action of building trust in AI by mitigating risks and uncovering potential unintended impacts related to its development, deployment, and its use.