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Showing 1–4 of 4 results
Advanced filters: Author: Carina Prunkl Clear advanced filters

  • For a third year in a row, we followed up with authors of several recent Comments and Perspectives in Nature Machine Intelligence about what happened after their article was published: how did the topic they wrote about develop, did they gain new insights, and what are their hopes and expectations for AI in 2022?

    • Cameron Buckner
    • Risto Miikkulainen
    • Vidushi Marda
    Special Features
    Nature Machine Intelligence
    Volume: 4, P: 5-10

  • The Conference on Neural Information Processing Systems (NeurIPS) introduced a new requirement in 2020 that submitting authors must include a statement on the broader impacts of their research. Prunkl and colleagues discuss challenges and benefits of this requirement and propose suggestions to address the challenges.

    • Carina E. A. Prunkl
    • Carolyn Ashurst
    • Allan Dafoe
    Reviews
    Nature Machine Intelligence
    Volume: 3, P: 104-110

  • Current AI policy recommendations differ on what the risks to human autonomy are. To systematically address risks to autonomy, we need to confront the complexity of the concept itself and adapt governance solutions accordingly.

    • Carina Prunkl
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 4, P: 99-101

  • Risks from AI in basic biology research can be addressed with a dual mitigation strategy that comprises basic education in AI ethics and community governance measures that are tailored to the needs of individual research communities.

    • Carina Prunkl
    Comments & Opinion
    Nature Methods
    Volume: 21, P: 1407-1408