Topic: The Future of Artificial Intelligence

Allie K. Miller

Allie Miller is a top artificial intelligence leader, advisor, and investor.

Previously, Allie was the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS), advising the top machine learning researchers, founders, and investors in the world. She was the first hire and ran the business to become a 100-person 10-figure organization inside AWS.

Prior to that, Allie was the youngest-ever woman to build an artificial intelligence product at IBM—spearheading product development across computer vision, conversation, data, and regulation for thousands of companies.

Outside of work, Allie is changing the game of AI. Allie has spoken about AI around the world, advises on global AI public policy, and created over 10 guidebooks to educate businesses on how to successfully build, scale, and outperform with AI.

Allie was named as AIconic’s 2019 "AI Innovator of the Year", LinkedIn Top Voice for Technology and AI 2019–2023, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, Chief in Tech’s Top 100 Women in Tech to Watch in 2022, ReadWrite’s Top 20 AI Speakers in the World, MKAI’s Top 20 AI Mavericks, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Allie is also the co-founder of Girls of the Future, a national ambassador for the American Association for the Advancement of Science (AAAS), an ambassador for the 10,000-person organization Advancing Women in Product, an angel investor in machine learning startups, and has won the Grand Prize in three national innovation competitions.

Allie holds a double-major MBA from The Wharton School and a BA in Cognitive Science (coding a three-year ML study and studying Computer Science, Linguistics, Psychology) from Dartmouth College.

Gary Marcus

Gary Marcus is a leading voice in cognitive science and artificial intelligence. The co-founder of the Center for the Advancement of Trustworthy AI, he is well-known for his challenges to contemporary AI (artificial intelligence), anticipating many of the current limitations decades in advance, and has been a leading advocate of neurosymbolic AI for three decades. In outstanding testimony before the U.S. Senate, an energizing TED Talk, an exceptional New York Times Q&A, and on CBS’ 60 Minutes, Marcus has emerged as a prominent voice urging for international AI research and regulation.

Trained by Steven Pinker, he received his PhD from MIT at age of 23 and was a professor at NYU for 20 years before becoming Founder and CEO of Geometric Intelligence, a machine learning company, which was acquired by Uber in 2016.

As Emeritus Professor of Psychology and Neural Science at NYU, he is also known for his research in human language development and cognitive neuroscience. He is the author of five books, including the bestseller “Guitar Zero” (2012). His 2001 book “The Algebraic Mind” foreshadowed the hallucination problem that plague current AI systems. “Rebooting AI,”(2019), with Ernest Davis, calls for fundamental changes in how we approach artificial intelligence and was one of Forbes’s 7 Must Read Books in AI.

His 2022 article “Deep Learning is Hitting a Wall” initially enraged many AI researchers but was ultimately named one of Pocket’s Best Tech Articles of 2022. Its key conclusions –that current AI systems face serious limits in truth, comprehension and reliability—have now been widely accepted even by many of his most prominent critics.

Marcus is currently challenging the field in a series of articles at his substack, which has quickly become a leading blog on AI, and has just launched an 8-episode podcast, “Humans versus Machines.”

He has written for The New York Times, Wired, The Guardian, Time, and The New Yorker and many others, and is regularly quoted (New Yorker, New York Times Washington Post, etc.). In recent months, his realist’s perspective has been featured on The Ezra Klein Show, CNN, NPR, Sam Harris’s podcast and many more. As seen in a recent 60 Minutes appearance, Marcus has emerged as a prominent skeptic not of AI itself, but of the potential path that companies using AI may find themselves on if they do not adequately prepare themselves.