The purpose of AI Governance should be to enhance AI's impact by improving quality, safety, and reliability, while at the same time minimizing risks and ensuring that AI systems behave ethically and without bias. At the level of government policy and regulation, numerous AI laws and frameworks have been implemented and more are coming. When effective, this regulation will help to create trust, increase adoption, and give developers a strong foundation upon which to build with confidence. Conversely, if implemented poorly, it will create confusion and stifle innovation, while doing little to reduce risks. 

Our Keynote Panel will discuss how this balancing act is to be successfully accomplished, and what we might expect as the influencers of policy are set to change.

Speaker: Johna Till Johnson

Johna Till Johnson is CEO at Nemertes Research, where she sets strategic direction and works with strategic clients. She has decades of experience in technology and innovation and operations and has worked closely with senior executives at leading organizations across a broad range of industries. A widely regarded expert, Johna is currently the content committee chair at the Wall St. Technology Association (WSTA) and regularly speaks at events such as RSA, the Wall St. Technology Association, and others.

Before founding Nemertes, Johna served as senior vice president and chief technology officer at Greenwich Technology Partners, a global infrastructure consulting and engineering firm. She previously headed the Global Networking Strategies Service business unit of META Group. 

Johna has designed and developed security, speech-synthesis, and free-space laser products at companies including Mosler Security Systems and Digitus Corp. She holds a BSEE (CS) from The Johns Hopkins University, has conducted graduate work in nuclear and particle physics at the University of Rochester, speaks three languages, and published a science fiction novel in 1995.

Johna is the co-host of the popular Heavy Strategies Podcast, and Enterprise AI: Hot Takes video series.

Speaker: Guru Sethupathy

Guru Sethupathy, Ph.D., FairNow Founder & CEO: Guru has spent the last 15+ years focused on data, analytics, and AI technology. He has pubished research on AI technology and its impact on the workforce and on the topic of fairness in algorithmic systems. He advised C-Suite executives at Fortune 100 companies on analytics and AI while at McKinsey & Co. Most recently, he was a senior executive at Capital One, leading analytics, AI, and governance. Guru recently left Capital One to found FairNow, whose mission is to help companies simplify governance so that they can ensure compliance and build trust in their AI.  

Guru has a BS in Computer Science from Stanford and a Ph.D. in Economics from Columbia.

Speaker: Roslyn Docktor

Roslyn serves as IBM’s Vice President for Technology and Science Policy leading a worldwide team to help advance IBM’s public policy and business objectives in such areas as AI, open tech, privacy, security, and quantum. She also serves on IBM’s AI Ethics Board and externally on the World Economic Forum’s Global Future Council on Technology Policy. Prior to IBM, she held leadership positions in public, private and non-profit sectors, including leading a novel initiative with the DHS Secretary to improve preparedness via engagement with local and state officials, business leaders, and citizens across the nation. Roslyn was also seconded to the White House, where she established the 170 nation Y2K network and the global “roll over” system that squashed the Y2K bug. Even earlier, she served as a Peace Corps Volunteer in Zambia. 

Speaker: William A. Tanenbaum

William A. Tanenbaum is the Leader of the AI & Data Law Practice at the law firm of Moses & Singer LLP in New York. He is recognized as a “Global Thought Leader in Data," a “go-to” lawyer on data and a “leading name in AI” by Who’s Who Legal. He was named as the “Lawyer of the Year” in IT in  New York by US World & News Report.