Archive - AI Snake Oil

AI Snake Oil is now available to preorder

What artificial intelligence can do, what it can't, and how to tell the difference

Apr 10 •

Arvind Narayanan

and

Tech policy is only frustrating 90% of the time

That’s what makes it worthwhile

Apr 3 •

Arvind Narayanan

and

March 2024

AI safety is not a model property

Trying to make an AI model that can’t be misused is like trying to make a computer that can’t be used for bad things

Mar 12 •

Arvind Narayanan

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A safe harbor for AI evaluation and red teaming

An argument for legal and technical safe harbors for AI safety and trustworthiness research

Mar 5 •

and

Arvind Narayanan

February 2024

On the Societal Impact of Open Foundation Models

Adding precision to the debate on openness in AI

Feb 27 •

and

Arvind Narayanan

January 2024

Will AI transform law?

The hype is not supported by current evidence

Jan 24 •

Arvind Narayanan

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Generative AI’s end-run around copyright won’t be resolved by the courts

Output similarity is a distraction

Jan 22 •

Arvind Narayanan

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December 2023

Are open foundation models actually more risky than closed ones?

A policy brief on open foundation models

Dec 15, 2023 •

and

Arvind Narayanan

Model alignment protects against accidental harms, not intentional ones

The hand wringing about failures of model alignment is misguided

Dec 1, 2023 •

Arvind Narayanan

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October 2023

What the executive order means for openness in AI

Good news on paper, but the devil is in the details

Oct 31, 2023 •

Arvind Narayanan

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How Transparent Are Foundation Model Developers?

Introducing the Foundation Model Transparency Index

Oct 18, 2023 •

Evaluating LLMs is a minefield

Annotated slides from a recent talk

Oct 4, 2023 •

Arvind Narayanan

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