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06/28/2023
Towards Measuring the Representation of Subjective Global Opinions in Language Models
Large language models (LLMs) may not equitably represent diverse global ...
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04/11/2023
Regulatory Markets: The Future of AI Governance
Appropriately regulating artificial intelligence is an increasingly urge...
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02/15/2023
The Capacity for Moral Self-Correction in Large Language Models
We test the hypothesis that language models trained with reinforcement l...
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09/24/2022
In-context Learning and Induction Heads
"Induction heads" are attention heads that implement a simple algorithm ...
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07/11/2022
Language Models (Mostly) Know What They Know
We study whether language models can evaluate the validity of their own ...
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05/02/2022
The AI Index 2022 Annual Report
Welcome to the fifth edition of the AI Index Report! The latest edition ...
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08/28/2021
Why and How Governments Should Monitor AI Development
In this paper we outline a proposal for improving the governance of arti...
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03/09/2021
The AI Index 2021 Annual Report
Welcome to the fourth edition of the AI Index Report. This year we signi...
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02/04/2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
On October 14th, 2020, researchers from OpenAI, the Stanford Institute f...
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09/10/2020
Measurement in AI Policy: Opportunities and Challenges
As artificial intelligence increasingly influences our world, it becomes...
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05/28/2020
Language Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and ben...
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04/15/2020
