☆ 4.8 Article

Dual use of artificial-intelligence-powered drug discovery

NATURE MACHINE INTELLIGENCE (2022)

CATMoS: Collaborative Acute Toxicity Modeling Suite

Kamel Mansouri et al.

Summary: The international collaboration in developing in silico models for predicting acute oral toxicity, resulting in the CATMoS, has demonstrated high performance in terms of accuracy and robustness. This modeling suite is being evaluated by regulatory agencies as a potential replacement for in vivo rat acute oral toxicity studies.

ENVIRONMENTAL HEALTH PERSPECTIVES (2021)

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Article Computer Science, Artificial Intelligence

Institutionalizing ethics in AI through broader impact requirements

Carina E. A. Prunkl et al.

Summary: The governance of artificial intelligence faces the challenge of translating principles into practice, with the Conference on Neural Information Processing Systems (NeurIPS) introducing a new requirement in 2020 for submitting authors to include a statement on the broader societal impacts of their research. Researchers face challenges such as a lack of recognized best practices, opportunity costs, and social pressures, but can benefit from improved anticipation and identification of impacts, better communication with policy experts, and strengthened norms around responsible research.

NATURE MACHINE INTELLIGENCE (2021)

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Review Neurosciences