AI safety

AI existential risk probabilities are too unreliable to inform policy

How speculation gets laundered through pseudo-quantification

Jul 26 •

Arvind Narayanan

and

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

and

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

On the Societal Impact of Open Foundation Models

Adding precision to the debate on openness in AI

Feb 27 •

and

Arvind Narayanan

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

and

Is AI-generated disinformation a threat to democracy?

An essay on the future of generative AI on social media

Jun 19, 2023 •

and

Arvind Narayanan

Is Avoiding Extinction from AI Really an Urgent Priority?

The history of technology suggests that the greatest risks come not from the tech, but from the people who control it

May 31, 2023 •

Arvind Narayanan

A misleading open letter about sci-fi AI dangers ignores the real risks

Misinformation, labor impact, and safety are all risks. But not in the way the letter implies.

Mar 29, 2023 •

and

Arvind Narayanan

The LLaMA is out of the bag. Should we expect a tidal wave of disinformation?

The bottleneck isn't the cost of producing disinfo, which is already very low.

Mar 6, 2023 •

Arvind Narayanan

and

Students are acing their homework by turning in machine-generated essays. Good.

Teachers adapted to the calculator. They can certainly adapt to language models.

Oct 21, 2022 •

Arvind Narayanan

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