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A Manifesto for Responsible AI: The Collaborative Mindset, Forethought, and Tools We Need to Create Trustworthy AI | General Catalyst

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As ChatGPT, DALL-E, and StableDiffusion made their way into the hands of consumers, the world’s experience of AI-enabled life put us on an irreversible course. The die is cast. Hacker culture is back, research publications are spawning by the second, and consumer experimentalism is reaching new heights. In the aftermath of ChatGPT’s release, Twitter captured our collective perception best with the resounding hymn: “Things are about to get really weird.” As many have noted, this is an “iPhone moment.” We know everything after this point in time will be different, but aren’t yet sure exactly how. While this moment is important in and of itself, it’s perhaps even more significant in regard to what it means for the future: one of pervasive, public AI. Although this feels like AI’s great debut, AI isn’t new. The term was coined nearly 70 years ago at the 1956 Dartmouth Summer Research Project on Artificial Intelligence, and public attention to the technology has waxed and waned ever since.

A Manifesto for Responsible AI Search The Future of Services Portfolio Copy Logo as SVG Copy Wordmark as SVG A Manifesto for Responsible AI Alexandre Momeni Christopher Kauffman April 10, 2023 Example H2 Example H3 As ChatGPT, DALL-E, and StableDiffusion made their way into the hands of consumers, the world’s experience of AI-enabled life put us on an irreversible course. The die is cast. Hacker culture is back, research publications are spawning by the second, and consumer experimentalism is reaching new heights. In the aftermath of ChatGPT’s release, Twitter captured our collective perceptio

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