Conor Grennan is Chief AI Architect at NYU Stern School of Business, where he builds generative AI fluency across the institution, including MBAs, faculty, and administration. Prior to that role, he served as Dean of Students for the past 10 years. Outside of NYU, Grennan is the CEO and Founder of AI Mindset, an AI consulting company that trains professionals, leaders, and organizations on a new and effective framework for generative AI. Grennan is also the Head GenAI Trainer for the Chief Executive Group and LinkedIn Learning’s instructor for AI for Business. He has keynoted on generative AI at the Generative AI World Conference, Generative AI Week, PWC’s Trust Leadership Academy, MetTel’s Innovation Conference, Correlation One’s CHRO Insights event, the Franchise CEO Summit, the Chief Executive Annual Summit, and many other large-scale events.

Grennan is also a New York Times #1 bestselling author, TEDx speaker, and executive coach.  His AI insights have been featured in Entrepreneur, Business Insider, Vox, and other media outlets. He co-hosts the AI Applied podcast (top 20 in Business News) and is a Top Voice in Public Speaking on LinkedIn, where he has over 65k followers that track his generative AI insights. Grennan is singularly primed to bring audiences insights on AI usage and applications.

De Kai is a pioneering AI scientist who is widely regarded as “the Statesman of AI.” A founder of the contemporary AI field as known today, three decades ago De Kai invented and built the world’s first global-scale online language translator. De Kai continues to push boundaries in AI research, alongside speaking to philosophical questions about the fears and possibilities of humanity's new technology and how we can be empowered to shape our future. In his book Raising AI, De Kai brings decades of experience to help audiences make sense of our interactions with AI at both personal and collective levels—ethically and responsibly. De Kai is Professor of Computer Science and Engineering at HKUST and Distinguished Research Scholar at Berkeley’s International Computer Science Institute. His cross-disciplinary works relating AI, cognition, language, music, creativity, media arts, ethics and society centers on enabling cultures to relate, and stems from a liberal arts perspective emphasizing creativity in both technical and humanistic dimensions.

De Kai’s groundbreaking projects have spurred the paradigm shift toward today’s state-of-the-art statistical natural language processing technologies. He has done research at Berkeley, UCSD, University of Toronto, Bell Laboratories, Columbia University, TU Munich, and Toronto. He founded HKUST's internationally funded Human Language Technology Center which launched the world's first global-scale online language translator over twenty years ago.

De Kai is among only 17 scientists worldwide named by the Association for Computational Linguistics as a Founding ACL Fellow and has been named one of the 100 most influential figures of Hong Kong. His TEDx Talk was named an editor's pick. He serves on the board of AI policy think tank TFS (The Future Society), which is heavily involved in drafting the European Union’s forthcoming AI Act. In 2018, Google named De Kai as one of eight inaugural members of its AI Ethics council, ATEAC (Advanced Technology External Advisory Council). Over the past decade, De Kai has given hundreds of talks worldwide on AI ethics, society, and safety.