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Announcing the AI Stage agenda at TechCrunch Disrupt 2023

Join DataPhoenix and 10,000 tech leaders, investors, and founders at TechCrunch Disrupt in San Francisco on Sept 19-21. Don’t miss interviews and sessions with trailblazing visionaries from Anthropic, DeepMind, Salesforce, Sequoia Capital, and more on AI Stage!

Dmitry Spodarets profile image
by Dmitry Spodarets
Announcing the AI Stage agenda at TechCrunch Disrupt 2023

As artificial intelligence rapidly evolves and integrates into every facet of our lives, from consumer apps to enterprise tools and medical devices, the need for discourse and understanding has never been more important. It's time to delve into the questions AI poses, celebrating its benefits while also navigating its complexities and challenges.

DataPhoenix cordially invites you to join us at the upcoming TechCrunch Disrupt conference in San Francisco on September 19–21.

The AI Stage Agenda at TechCrunch Disrupt 2023

Big Fish, Little Pond: Can Investors Make 10-Figure AI Valuations Pay Off in Markets No One Is Sure Exist?

  • Miles Grimshaw (General Partner, Benchmark)
  • Sonya Huang (Partner, Sequoia Capital)
  • Saam Motamedi (Partner, Greylock)

Everyone seems to have agreed that AI will revolutionize tech, but so far the kind of revenue and deals that would justify billion-dollar valuations are scarce. How do venture capitalists and institutional investors envision the next few years playing out — and paying out?

Stronger, Faster...Safer? Anthropic co-founder Dario Amodei on Letting AI Find Its Best Self

  • Dario Amodei (Co-founder & CEO, Anthropic)

Is it possible for AI to be built ethically, to operate safely, yet remain useful and perhaps even profitable? Anthropic aims to thread this needle by moving slow and avoiding breakage — and it has raised hundreds of millions to do so. Co-founder and CEO Dario Amodei speaks about taking on the most complex software ever attempted with one hand tied behind his back.

Bias, Toxicity and Hallucination: Can AI Be Ethical?

  • Kathy Baxter (Principal Architect, Responsible AI & Tech, Salesforce)

There’s palpable excitement around AI, especially generative AI, but the technology has problems. At the worst, it’s prejudicial and untruthful — potentially causing harm to the people who use it. Policymakers around the world are grappling with the implications of AI, as will this panel, which will explore the root causes of AI’s issues and how they can be responsibly mitigated — if that’s even possible.

How AI Can Both Accelerate and Slow Down the Disinformation Economy

  • Gordon Crovitz (Co-CEO, NewsGuard)

The threat of AI-generated disinformation, or just plain spam, is on everyone’s minds. We know language models can dish it out, but can they also hold it back? This panel will explore the risks and potential solutions as an election year looms.

A Deep Dive on DeepMind, Google’s Premiere AI Lab

  • Demis Hassabis (Founder & CEO, DeepMind)

DeepMind, the AI lab Google acquired in 2014, has grown to wield enormous influence over its parent company’s AI research. Led by Demis Hassabis, DeepMind — which, among other accomplishments, built an AI that can best world champions at Go — most recently was charged with spearheading Google’s generative AI efforts. In this fireside chat, Hassabis will discuss DeepMind’s current projects and others under his purview at Google — including healthcare.

Lights, Camera, Algorithm! Where AI Fits into Movies, Games and Creativity

  • John Spitzer (VP of Developer & Performance Technology, NVIDIA)
  • Nikola Todorovic (Co-founder & CEO, Wonder Dynamics)

The threat of AI-generated disinformation, or just plain spam, is on everyone’s mind. We know language models can dish it out, but can they also hold it back? This panel will explore the risks and potential solutions as an election year looms.

AI Can Write Words — But Can It Understand Them?

  • May Habib (Co-founder & CEO, Writer)

Text-generating AI is the hot new thing in tech. But while it’s proven to be a major productivity boost for some, it’s far from perfect. Generative text AI has biases and, depending on the model, a tendency to generate toxic content — or even confidently make up facts. Our panelists will discuss these limitations and more as investments in generative AI pick up steam.

Between Hype and a Hard Place: Gary Marcus on AI’s Next Steps

  • Gary Marcus (Founder Robust.AI & Geometric.AI; Emeritus Professor Psychology & Neural Science, NYU)

Balancing skepticism with a healthy respect for the havoc AI could create, Gary Marcus has been a rational voice in a hype-filled world. But with the technology entering the mainstream, we need to do more than warn — we need action, regulation, and cooperation. How do we get it? Marcus has some ideas.

Dmitry Spodarets profile image
by Dmitry Spodarets

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