All Work Published on Generative AI
The new AI Index is out. See how well you know the state of the industry.
The new AI Index is out. See how well you know the state of the industry.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
HAI Policy Fellow Riana Pfefferkorn speaks about a new law in effect, criminalizing the creation, distribution, and possession of AI-generated child sexual abuse material.
HAI Policy Fellow Riana Pfefferkorn speaks about a new law in effect, criminalizing the creation, distribution, and possession of AI-generated child sexual abuse material.
Large Language Models Just Want To Be Liked
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When LLMs take surveys on personality traits, they, like people, exhibit a desire to appear likable.
When LLMs take surveys on personality traits, they, like people, exhibit a desire to appear likable.
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Despite huge advancements in machine learning and neural networks, AI systems still depend on human direction. This article references HAI's 2022 conference where attendees were encouraged to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.
Despite huge advancements in machine learning and neural networks, AI systems still depend on human direction. This article references HAI's 2022 conference where attendees were encouraged to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.