Senior Technical Staff Member IBM Fishkill, New York, United States
Join us to explore AI governance, the guardrails ensuring AI tools and systems are safe and ethical. We will discuss frameworks, rules, and standards that direct AI research, development, and application to ensure safety, fairness, and respect for human rights.
2023 saw generative AI emerge as the top technology. The buzz around generative AI has also unleashed a tide of concerns, including various ethical and social risks. 2024 is the year of scaling generative AI with integrity. As companies move beyond experimentation and pilots, they must identify and scale their AI ambition with AI governance to extract tangible business value.
This session will discuss pressing business challenges, case studies, and practical strategies. Robust AI governance practices can effectively harness AI's transformative potential while safeguarding against pitfalls.
Join us to explore how AI governance can make or break AI for business in today's dynamic marketplace.
Learning Objectives:
Describe the fundamental concepts of AI governance, transparent model process, explainability, and their importance in ensuring AI tools and systems' safety and fairness.
Identify the ethical and social risks associated with generative AI and discuss strategies for mitigating bias, drift and risks through effective AI governance.
Analyze real-world case studies to understand businesses' practical challenges and opportunities in implementing AI governance.