AI Hazards for Product Teams Five problems you'll have to solve
How might we realize the value of AI without blowing up any businesses? Artificial intelligence can bring transformative potential. The AI/ML promise comes with risks, challenges and unknowns. This talk focuses on the potential blockers in privacy, accuracy, ethics, costs, and stability, and provides a framework to evaluate and mitigate these risks. As AI systems grow more sophisticated, they raise questions about how personal data is collected, used, and safeguarded. We'll discuss real-world examples where AI's thirst for data bumps against privacy concerns and how to help you stay compliant with regulations like GDPR and CCPA. We'll examine what it means to build ethical AI and how to avoid the pitfalls of bias and discrimination. Get ready for a fun and thought-provoking journey through AI's complex landscape. Speakers: Jonathan Eyler-Werve, AI/ML Practice Lead, VMware Tanzu Acecia Thomas-Baker, Senior Product Designer, VMware Tanzu
