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Dan Hendrycks

From Wikipedia, the free encyclopedia
American machine learning researcher
Dan Hendrycks
Born1994 or 1995 (age 29–30)
EducationUniversity of Chicago (B.S., 2018)
UC Berkeley (Ph.D., 2022)
Scientific career
Fields
InstitutionsUC Berkeley
Center for AI Safety

Dan Hendrycks (born 1994 or 1995[1]) is an Americanmachine learning researcher. He serves as the director of theCenter for AI Safety, a nonprofit organization based inSan Francisco,California.

Early life and education

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Hendrycks was raised in a Christianevangelical household inMarshfield, Missouri.[2][3] He received aB.S. from theUniversity of Chicago in 2018 and aPh.D. from theUniversity of California, Berkeley inComputer Science in 2022.[4]

Career and research

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Hendrycks' research focuses on topics that includemachine learning safety,machine ethics, and robustness.

He credits his participation in theeffective altruism (EA) movement-linked80,000 Hours program for his career focus towards AI safety, though denied being an advocate for EA.[2]

Hendrycks is the main author of the research paper that introduced theactivation function GELU in 2016,[5] and of the paper that introduced the language model benchmarkMMLU (Massive Multitask Language Understanding) in 2020.[6][7]

In February 2022, Hendrycks co-authored recommendations for the USNational Institute of Standards and Technology (NIST) to inform the management of risks fromartificial intelligence.[8][9]

In September 2022, Hendrycks wrote a paper providing a framework for analyzing the impact of AI research on societal risks.[10][11] He later published a paper in March 2023 examining hownatural selection and competitive pressures could shape the goals ofartificial agents.[12][13][14] This was followed by "An Overview of Catastrophic AI Risks", which discusses four categories of risks: malicious use, AI race dynamics, organizational risks, and rogue AI agents.[15][16]

Hendrycks is the safety adviser ofxAI, an AI startup company founded byElon Musk in 2023. To avoid any potential conflicts of interest, he receives a symbolicone-dollar salary and holds no company equity.[1][17] In November 2024, he also joinedScale AI as an advisor collecting a one-dollar salary.[18] Hendrycks is the creator ofHumanity's Last Exam, a benchmark for evaluating the capabilities oflarge language models, which he developed in collaboration with Scale AI.[19][20]

In 2024 Hendrycks published a 568 page book entitled "Introduction to AI Safety, Ethics, and Society" based on courseware he had previously developed.[21]

Selected publications

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  • Hendrycks, Dan; Gimpel, Kevin (2020-07-08). "Gaussian Error Linear Units (GELUs)".arXiv:1606.08415 [cs.LG].
  • Hendrycks, Dan; Gimpel, Kevin (2018-10-03). "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks".International Conference on Learning Representations 2017.arXiv:1610.02136.
  • Hendrycks, Dan; Mazeika, Mantas; Dietterich, Thomas (2019-01-28). "Deep Anomaly Detection with Outlier Exposure".International Conference on Learning Representations 2019.arXiv:1812.04606.
  • Hendrycks, Dan; Mazeika, Mantas; Zou, Andy (2021-10-25). "What Would Jiminy Cricket Do? Towards Agents That Behave Morally".Conference on Neural Information Processing Systems 2021.arXiv:2110.13136.

References

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  1. ^abHenshall, Will (September 7, 2023)."Time 100 AI: Dan Hendrycks".Time.
  2. ^abScharfenberg, David (July 6, 2023)."Dan Hendrycks wants to save us from an AI catastrophe. He's not sure he'll succeed".The Boston Globe.Archived from the original on July 8, 2023.
  3. ^Castaldo, Joe (June 23, 2023)."'I hope I'm wrong': Why some experts see doom in AI".The Globe and Mail.
  4. ^"Dan Hendrycks".people.eecs.berkeley.edu. Retrieved2023-04-14.
  5. ^Hendrycks, Dan; Gimpel, Kevin (2023-06-06),Gaussian Error Linear Units (GELUs),arXiv:1606.08415
  6. ^Hendrycks, Dan; Burns, Collin; Basart, Steven; Zou, Andy; Mazeika, Mantas; Song, Dawn; Steinhardt, Jacob (2021-01-12),Measuring Massive Multitask Language Understanding,arXiv:2009.03300
  7. ^Roose, Kevin (2024-04-15)."A.I. Has a Measurement Problem".The New York Times.ISSN 0362-4331. Retrieved2025-03-01.
  8. ^"Nvidia moves into A.I. services and ChatGPT can now use your credit card".Fortune. Retrieved2023-04-13.
  9. ^"Request for Information to the Update of the National Artificial Intelligence Research and Development Strategic Plan: Responses"(PDF).National Artificial Intelligence Initiative. March 2022.
  10. ^Hendrycks, Dan; Mazeika, Mantas (2022-06-13). "X-Risk Analysis for AI Research".arXiv:2206.05862v7 [cs.CY].
  11. ^Gendron, Will."An AI safety expert outlined a range of speculative doomsday scenarios, from weaponization to power-seeking behavior".Business Insider. Retrieved2023-05-07.
  12. ^Hendrycks, Dan (2023-03-28). "Natural Selection Favors AIs over Humans".arXiv:2303.16200 [cs.CY].
  13. ^Colton, Emma (2023-04-03)."AI could go 'Terminator,' gain upper hand over humans in Darwinian rules of evolution, report warns".Fox News. Retrieved2023-04-14.
  14. ^Klein, Ezra (2023-04-07)."Why A.I. Might Not Take Your Job or Supercharge the Economy".The New York Times. Retrieved2023-04-14.
  15. ^Hendrycks, Dan; Mazeika, Mantas; Woodside, Thomas (2023). "An Overview of Catastrophic AI Risks".arXiv:2306.12001 [cs.CY].
  16. ^Scharfenberg, David (July 6, 2023)."Dan Hendrycks wants to save us from an AI catastrophe. He's not sure he'll succeed".The Boston Globe. RetrievedJuly 10, 2023.
  17. ^Lovely, Garrison (January 22, 2024)."Can Humanity Survive AI?".Jacobin.
  18. ^Goldman, Sharon (2024-11-14)."Elon Musk's xAI safety whisperer just became an advisor to Scale AI".Fortune. Retrieved2024-11-14.
  19. ^Roose, Kevin (2025-01-23)."When A.I. Passes This Test, Look Out".The New York Times.ISSN 0362-4331. Retrieved2025-02-04.
  20. ^Dastin, Jeffrey; Paul, Katie (2024-09-16)."AI experts ready 'Humanity's Last Exam' to stump powerful tech". Reuters.
  21. ^"AI Safety, Ethics, and Society Textbook".www.aisafetybook.com. Retrieved9 May 2024.
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