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Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2020)

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Другие публикации лиц с тем же именем

Modeling Progress in AI.. CoRR, (2015)Economic Possibilities for Our Children: Artificial Intelligence and the Future of Work, Education, and Leisure.. AAAI Workshop: AI and Ethics, том WS-15-02 из AAAI Technical Report, AAAI Press, (2015)Artificial Intelligence and Responsible Innovation.. PT-AI, том 376 из Synthese Library, стр. 543-554. Springer, (2013)Understanding the capabilities, limitations, and societal impact of large language models, , , и . arXiv:2102.02503 cs, (февраля 2021)arXiv: 2102.02503.A Brief Survey of Deep Reinforcement Learning, , , и . (2017)cite arxiv:1708.05866Comment: IEEE Signal Processing Magazine, Special Issue on Deep Learning for Image Understanding (arXiv extended version).Report of the 1st Workshop on Generative AI and Law., , , , , , , , , и 25 other автор(ы). CoRR, (2023)Evaluating Large Language Models Trained on Code., , , , , , , , , и 48 other автор(ы). CoRR, (2021)The Malicious Use of Artificial Intelligence : Forecasting, Prevention, and Mitigation, и . Report, Future of Humanity Institute, University of Oxford; Centre for the Study of Existential Risk, University of Cambridge; OpenAI, Oxford, (февраля 2018)Limitations and risks of machine ethics.. J. Exp. Theor. Artif. Intell., 26 (3): 355-372 (2014)Deep Reinforcement Learning: A Brief Survey., , , и . IEEE Signal Process. Mag., 34 (6): 26-38 (2017)