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Showing 1–7 of 7 results
Advanced filters: Author: Sebastian Porsdam Mann Clear advanced filters

  • For our fifth anniversary, we reconnected with authors of recent Comments and Perspectives in Nature Machine Intelligence and asked them how the topic they wrote about developed. We also wanted to know what other topics in AI they found exciting, surprising or worrying, and what their hopes and expectations are for AI in 2024—and the next five years. A recurring theme is the ongoing developments in large language models and generative AI, their transformative effect on the scientific process and concerns about ethical implications.

    • Noelia Ferruz
    • Marinka Zitnik
    • Francesco Stella
    Special Features
    Nature Machine Intelligence
    Volume: 6, P: 6-12

  • In this Comment, we propose a cumulative set of three essential criteria for the ethical use of LLMs in academic writing, and present a statement that researchers can quote when submitting LLM-assisted manuscripts in order to testify to their adherence to them.

    • Sebastian Porsdam Mann
    • Anuraag A. Vazirani
    • Julian Savulescu
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 6, P: 1272-1274

  • Generative AI programs can produce high-quality written and visual content that may be used for good or ill. We argue that a credit–blame asymmetry arises for assigning responsibility for these outputs and discuss urgent ethical and policy implications focused on large-scale language models.

    • Sebastian Porsdam Mann
    • Brian D. Earp
    • Julian Savulescu
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 5, P: 472-475

  • Can artificial intelligence improve clinical trial design? Despite their importance in medicine, over 40% of trials involve flawed protocols. We introduce and propose the development of application-specific language models (ASLMs) for clinical trial design across three phases: ASLM development by regulatory agencies, customization by Health Technology Assessment bodies, and deployment to stakeholders. This strategy could enhance trial efficiency, inclusivity, and safety, leading to more representative, cost-effective clinical trials.

    • Johnathon Edward Liddicoat
    • Gabriela Lenarczyk
    • Sebastian Porsdam Mann
    Comments & OpinionOpen Access
    npj Digital Medicine
    Volume: 8, P: 1-5