Biography:Dan Hendrycks
Dan Hendrycks | |
|---|---|
| Education | University of Chicago (B.S., 2018) UC Berkeley (Ph.D., 2022) |
| Scientific career | |
| Fields | |
| Institutions | UC Berkeley Center for AI Safety |
Dan Hendrycks is an American machine learning researcher. He serves as the director of the Center for AI Safety.
Education
Hendrycks received a B.S. from the University of Chicago in 2018 and a Ph.D. from the University of California, Berkeley in Computer Science in 2022.[1]
Career and research
Hendrycks' research focuses on topics that include machine learning safety, machine ethics, and robustness.
In February 2022, Hendrycks co-authored recommendations for the US National Institute of Standards and Technology (NIST) to inform the management of risks from artificial intelligence.[2][3]
In September 2022, Hendrycks wrote a paper providing a framework for analyzing the impact of AI research on societal risks.[4][5] He later published a paper in March 2023 examining how natural selection and competitive pressures could shape the goals of artificial agents.[6][7][8] 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.[9][10]
Selected publications
- 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.
- Hendrycks, Dan; Mazeika, Mantas; Dietterich, Thomas (2019-01-28). "Deep Anomaly Detection with Outlier Exposure". International Conference on Learning Representations 2019.
- 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.
References
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- ↑ "Dan Hendrycks". https://people.eecs.berkeley.edu/~hendrycks/.
- ↑ "Nvidia moves into A.I. services and ChatGPT can now use your credit card" (in en). https://fortune.com/2023/03/28/nvidia-moves-into-a-i-services-and-chatgpt-can-now-use-your-credit-card/.
- ↑ "Request for Information to the Update of the National Artificial Intelligence Research and Development Strategic Plan: Responses". March 2022. https://www.ai.gov/rfi/2022/87-FR-5876/NAIRDSP-RFI-2022-Newman-UC-Berkley.pdf.
- ↑ Hendrycks, Dan; Mazeika, Mantas (2022-06-13). "X-Risk Analysis for AI Research". arXiv:2206.05862v7 [cs.CY].
- ↑ Gendron, Will. "An AI safety expert outlined a range of speculative doomsday scenarios, from weaponization to power-seeking behavior" (in en-US). https://www.businessinsider.com/ai-safety-expert-research-speculates-dangers-doomsday-scenarios-weaponization-deception-2023-4.
- ↑ Hendrycks, Dan (2023-03-28). "Natural Selection Favors AIs over Humans". arXiv:2303.16200 [cs.CY].
- ↑ Colton, Emma (2023-04-03). "AI could go 'Terminator,' gain upper hand over humans in Darwinian rules of evolution, report warns" (in en-US). https://www.foxnews.com/tech/ai-could-go-terminator-gain-upper-hand-over-humans-in-darwinian-rules-of-evolution-expert-warns.
- ↑ Klein, Ezra (2023-04-07). "Why A.I. Might Not Take Your Job or Supercharge the Economy" (in en-US). The New York Times. https://www.nytimes.com/2023/04/07/opinion/ezra-klein-podcast-ama-april2023.html.
- ↑ Hendrycks, Dan; Mazeika, Mantas; Woodside, Thomas (2023). "An Overview of Catastrophic AI Risks". arXiv:2306.12001 [cs.CY].
- ↑ 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. https://www.bostonglobe.com/2023/07/06/opinion/ai-safety-human-extinction-dan-hendrycks-cais/.
