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Showing 1–5 of 5 results
Advanced filters: Author: Julia Stoyanovich Clear advanced filters

  • We invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about the challenges of 2020, and what they look forward to in 2021.

    • Anna Jobin
    • Kingson Man
    • Miguel Luengo-Oroz
    Special Features
    Nature Machine Intelligence
    Volume: 3, P: 2-8

  • As artificial intelligence becomes prevalent in society, a framework is needed to connect interpretability and trust in algorithm-assisted decisions, for a range of stakeholders.

    • Julia Stoyanovich
    • Jay J. Van Bavel
    • Tessa V. West
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 2, P: 197-199

  • An increasing number of regulations demand transparency in automated decision-making processes such as in automated online recruitment. To provide meaningful transparency, Sloane et al. propose the use of ‘nutritional’ labels that display specific information about an automated decision system, depending on the context.

    • Mona Sloane
    • Ian René Solano-Kamaiko
    • Julia Stoyanovich
    Reviews
    Nature Machine Intelligence
    Volume: 5, P: 187-195