Thomas L Griffiths
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Explore the profile of Thomas L Griffiths including associated specialties, affiliations and a list of published articles.
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181
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4411
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Recent Articles
1.
Bai X, Wang A, Sucholutsky I, Griffiths T
Proc Natl Acad Sci U S A
. 2025 Feb;
122(8):e2416228122.
PMID: 39977313
Large language models (LLMs) can pass explicit social bias tests but still harbor implicit biases, similar to humans who endorse egalitarian beliefs yet exhibit subtle biases. Measuring such implicit biases...
2.
Musslick S, Bartlett L, Chandramouli S, Dubova M, Gobet F, Griffiths T, et al.
Proc Natl Acad Sci U S A
. 2025 Jan;
122(5):e2401238121.
PMID: 39869810
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery,...
3.
Correa C, Sanborn S, Ho M, Callaway F, Daw N, Griffiths T
Cognition
. 2024 Dec;
255:105990.
PMID: 39616822
Human behavior is often assumed to be hierarchically structured, made up of abstract actions that can be decomposed into concrete actions. However, behavior is typically measured as a sequence of...
4.
Bai X, Griffiths T, Fiske S
J Exp Psychol Gen
. 2024 Nov;
154(2):347-357.
PMID: 39570702
Traditional explanations for stereotypes assume that they result from deficits in humans (ingroup-favoring motives, cognitive biases) or their environments (majority advantages, real group differences). An alternative explanation recently proposed that...
5.
Russek E, Callaway F, Griffiths T
Cogn Sci
. 2024 Nov;
48(11):e70015.
PMID: 39501417
Inferring an individual's preferences from their observable behavior is a key step in the development of assistive decision-making technology. Although machine learning models such as neural networks could in principle...
6.
Collins K, Sucholutsky I, Bhatt U, Chandra K, Wong L, Lee M, et al.
Nat Hum Behav
. 2024 Oct;
8(10):1851-1863.
PMID: 39438684
What do we want from machine intelligence? We envision machines that are not just tools for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and trustworthy systems that think...
7.
Turner C, Morgan T, Griffiths T
Proc Biol Sci
. 2024 Oct;
291(2033):20241524.
PMID: 39437844
The environmental complexity hypothesis suggests that cognition evolves to allow animals to negotiate a complex and changing environment. By contrast, signal detection theory suggests cognition exploits environmental regularities by containing...
8.
McCoy R, Yao S, Friedman D, Hardy M, Griffiths T
Proc Natl Acad Sci U S A
. 2024 Oct;
121(41):e2322420121.
PMID: 39365822
The widespread adoption of large language models (LLMs) makes it important to recognize their strengths and limitations. We argue that to develop a holistic understanding of these systems, we must...
9.
McCoy R, Griffiths T
Behav Brain Sci
. 2024 Sep;
47:e155.
PMID: 39311528
Meta-learning is even more broadly relevant to the study of inductive biases than Binz et al. suggest: Its implications go beyond the extensions to rational analysis that they discuss. One...
10.
Smith K, Kirby S, Guo S, Griffiths T
Nature
. 2024 Sep;
633(8030):525.
PMID: 39289495
No abstract available.