Foundation models

Explore the Report: Opportunities and Risks of AI’s Foundation Models Analyzed

Explore the rise, impact, and challenges of AI foundation models with our in-depth report. Delve into their capabilities, wide-ranging applications, societal implications, and steps towards responsible governance.

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Written and prepared by:

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang et al. (14 additional authors not shown)

What’s inside

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Explore the world of foundation models in AI with our e-book "On the Opportunities and Risks of Foundation Models". It delves into the potential of these models, their technical nuances, societal implications and the need for a collaborative and regulated approach towards their development. Perfect for AI enthusiasts, researchers and policy makers.

Foundation Models: An Introduction and Their Influence in AI

Explore the rise and impact of foundation models in AI, their potential across numerous applications, their challenges, and future prospects.

Technical Underpinnings and Abilities of Foundation Models

Explore the technology and capabilities of foundation models in AI and the impact they can have across various sectors.

The Societal Impact and Applications of Foundation Models

Explore the impacts, applications, risks, and potential of foundation models in diverse sectors, including AI ethics and policy.

The Potential for Innovation and Need for Collaborative Approach

Explore the groundbreaking potential of foundation models in AI, along with the need for collaboration to address associated challenges.

Understanding Risks and Implementing Governance in Foundation Models

Explore how to manage risks and implement effective governance in the rise of foundation models in AI.

Addressing Challenges: Bias, Privacy, Environmental, and Legal Concerns in Foundation Models.

Explore the potential and challenges of foundation models in AI, including issues around bias, privacy, environment, and law.

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