MOST SIMILAR 200 SPEAKER RESULTS
Alex Salkever
Artificial Intelligence & Advanced Technology Futurist; Author of "The Driver in the Driverless Car: How Our Technology Choices Will Create the Future"
Ganes Kesari
Entrepreneur, Data Science Thought Leader, Author & TEDx Speaker
Mutale Nkonde
UN Advisor on AI, CEO of AI for the People & Fellow at Stanford
Beena Ammanath
Award-Winning Senior Technology Executive, Global Head at the Deloitte AI Institute & Founder of Humans For AI; Author, "Trustworthy AI"
Ian Beacraft
Artificial Intelligence & Future of Work Expert; CEO & Chief Futurist at Signal & Cipher
Scott Amyx
Technology Futurist & Sustainability Venture Capitalist Backing Social Impact Entrepreneurs; Managing Partner at Astor Perkins
Ayesha Khanna
Artificial Intelligence Expert; Leading Advisor on Our Intelligent Future; Government Healthcare Consultant; Co-Founder & CEO of Addo
Zack Kass
Futurist & Former Head of GTM at OpenAI
Karen Palmer
Futurist & Thought Leader Using Immersive AI for Participants to Experience Societal Implications of AI and AI Bias; Award-Winning XR Creator; Winner of SXSW XR Competition 2023
Huma Abidi
Engineering Director of the Artificial Intelligence Product Group at Intel
Jana Eggers
CEO of NaraLogics; Innovation & AI Expert
Babak Hodjat
Vice President of Evolutionary AI at Cognizant; Co-Founder & Former CEO of Sentient
Pascal Bornet
Intelligent Automation Pioneer, AI Expert, Best-Selling Author
Daniel Hulme, PhD
AI Expert, CEO of Satalia, Chief AI Officer at WPP
Jason J. Sosa
Founder & CEO, Azara AI; Future of Work & Emerging Technologies Expert
Timothy Hwang
Expert on AI, Machine Learning, & Technology Ethics; Founder & CEO of FiscalNote
Safiya Noble
AI & Algorithmic Discrimination Expert; Associate Professor at UCLA; Researcher on Race, Gender, Technology & Design
Lisa Gelobter
Founder & CEO of tEQuitable
Vasant Dhar
Artificial Intelligence Researcher & Data Scientist, Professor at the NYU Stern School of Business
Amber Case
Cyborg Anthropologist, Author, Former MIT & Harvard Fellow