Laurie Segall

Laurie Segall has spent over a decade at the frontlines of tech, covering the rise of Silicon Valley, the evolution of AI, and how innovation is reshaping our world. As CNN’s former senior tech correspondent and a reporter for 60 Minutes, she’s had rare, behind-the-scenes access to some of the most influential figures in Silicon Valley and has been the go-to reporter for interviews with the titans of the tech world, including Mark Zuckerberg, Tim Cook, and OpenAI’s Sam Altman, to name a few. But Laurie’s work goes beyond just reporting on big names—she’s always been focused on the bigger questions: How is technology shaping our culture? Who gets a say in the future we’re building? And what are the real human costs of innovation? As a speaker, she challenges audiences to think critically about the role of technology in their lives and in society, pushing for a future that’s not just driven by innovation but by ethics and accountability, and she is the go-to source for businesses, investors, and decision-makers seeking to understand and leverage the power of technology.

What makes Laurie stand out isn’t just her access to tech’s biggest players—it’s her ability to cut through the noise and make complex topics like AI, startup culture, and tech ethics feel accessible, real, and human-centered. She’s been ahead of major trends, from the unintended consequences of social media to the ethical dilemmas of AI, long before they hit the mainstream. Whether she’s breaking down the latest breakthroughs in artificial intelligence or exposing the untold stories behind Silicon Valley’s biggest decisions, Laurie delivers valuable perspectives on the forces shaping our technology.

She captured her journey through the tech industry in her memoir, Special Characters: My Adventures with Tech’s Titans and Misfits, offering an unfiltered, inside look at the people and moments that have defined this era of innovation. Now, she’s taking storytelling a step further with Mostly Human, an entertainment company at the intersection of tech and culture. Partnering with major Hollywood studios, Mostly Human explores the human impact of AI and emerging technologies, making sure the conversation about our digital future is inclusive, compelling, and impossible to ignore.

A vocal advocate for women in tech, Laurie has been recognized with multiple Gracie Awards and has been featured in Forbes, Business Insider, New York Magazine’s The Cut, CBS This Morning, SF Chronicle, and more. She’s a sought-after speaker at top industry events, including Web Summit, SXSW, the Center for Humane Technology, and Founders Forum.

Allie K. Miller

Allie K. Miller is a top artificial intelligence leader, advisor, and investor. Previously, Allie was the Global Head of Machine Learning for Startups and Venture Capital at Amazon (AWS), advising the top machine learning researchers and founders in the world. Prior to that, Allie built 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, addressed the European Commission, drafted foreign AI strategies, and created eight guidebooks to educate businesses on how to build successful AI projects.

Allie was named AIconic’s 2019 "AI Innovator of the Year," a LinkedIn Top Voice for Technology and AI for the last five years, 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 Founder of The AI Pipeline to build stronger diversity in ML, 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 is driven, ambitious, and quick-witted. 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, and 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.