As organizations are exploring and expanding on their AI capabilities, Chief Data Officers are now responsible for governing the data for responsible and trustworthy AI. This session will cover 5 key principles to ensure successful adoption and scaling of AI initiatives that align with their company’s business strategy. From data quality to advocating for ethical AI practices, the Chief Data Officer’s mandate has expanded to compliance of new AI regulations. 

Peggy Tsai, Chief Data Officer at BigID and adjunct faculty member at Carnegie Mellon University for the Chief Data Officer executive program, will provide insights into the AI governance strategies and outcomes crucial for cultivating an AI-first organization. Drawing on her extensive experience in data governance and AI, this session will be an invaluable guidance for all participants aiming to adopt industry-leading practices.

A Chief Privacy Officer, a Computer Scientist, and a Lawyer walk into a bar … and the bartender is a Chief Data Officer. 

Artificial intelligence is rapidly transforming our world, and with it comes the risk of unintended consequences. AI can infringe on privacy, create and perpetuate bias and discrimination, negatively impact economic opportunities, and harm customers. AI can spread disinformation and perpetuate deepfakes, affecting democratic processes and participation. Companies and institutions face reputational, cultural, economic, legal, and regulatory risks if they don’t identify, address, and govern AI’s potential harm to individuals and society throughout the AI lifecycle. 

This panel discussion among data experts will explore the importance of creating and maintaining AI systems that are human-centric, accountable, transparent, explainable, and privacy enhanced.