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Fortune Brainstorm AI
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| With founder/CEOs Matthew Prince (Cloudflare), Thomas Dohmke (GitHub), Lex Bayer (Quizlet), Jim Steyer (CommonSense Media), Cristbal Valenzuela (Runway). |
| Venue, To Be Announced, San Francisco |
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Dec 11 (Mon) , 2023 @ 02:00 PM
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By Invite Only |
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| DETAILS |
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Generative A.I. exploded this year & now has the attention of regulators, businesses, & the general public. Much of both the hype & hysteria around A.I. is driven by the nascent tech's ability to act human, something that could have wide-reaching implications as it becomes more sophisticated.
And yet, underpinning systems like ChatGPT is tech that could change the world as we know it, revolutionizing everything from health care & entertainment to manufacturing & education. But much remains unknown is how A.I. will be deployed in the coming years, & to what effect. How will A.I. be used to drive business value? Will artificial intelligence make some jobs obsolete, or is the future of labor humans augmented by A.I.? Fortune Brainstorm A.I. will gather leaders in machine learning & artificial intelligence to answer these questions & more.
Curated by FORTUNE editors, Brainstorm A.I. will cut through the noise & reveal the sector's immediate opportunities & most pressing challenges. Join C-suite executives, leading academics, & prominent policymakers as we assess the industry & examine new business cases for A.I. This year's program, presented in association with Accenture, will feature intimate one-on-one conversations, engaging panel discussions, & lively roundtable sessions-all designed to address how A.I. is changing the ways we do business. Already confirmed speakers include Matthew Prince, CEO of Cloudflare, Thomas Dohmke, CEO of GitHub, Lex Bayer, CEO of Quizlet, Jim Steyer, CEO of CommonSense Media, Cristbal Valenzuela, Co-founder & CEO of Runway, & more.
Overview
We'll take a deep dive into these topics at our 2023 gathering:
How businesses & entrepreneurs are using A.I. today
Challenges & opportunities for A.I. in health care
A.I. & misinformation as we approach the 2024 election
Where regulation is headed in the U.S. & Europe
Legal considerations for sourcing large datasets
Preventing A.I. from reflecting & perpetuating existing human biases
Tech & data infrastructure needed to deploy A.I. at scale
Attracting & retaining talent in competitive markets
Copyright & ownership in the A.I. era
Privacy & cybersecurity implications
Responsible A.I.: Managing risk & building trust to maximize the ROI of generative A.I.
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