Programs

  • Taking AI Welfare Seriously Report

    Publication of "Taking AI Welfare Seriously" Report:In collaboration with the NYU Center for Mind, Ethics, and Policy, Eleos AI Research released a comprehensive report titled "Taking AI Welfare Seriously". This report argues for the realistic possibility of consciousness and/or robust agency in near-future AI systems, thereby attributing moral significance to them. It provides actionable recommendations for AI companies and policymakers to consider the welfare of AI systems in their development and deployment processes. The report has been influential in shaping discussions around AI ethics and has been cited in various academic and industry forums.
    Geographies
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    Dates
    Jan 1, 2024 – Dec 31, 2024
    Source
    990
    No causes provided
    No populations provided
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  • Empirical Evaluation Methods for AI Consciousness

    Development of Empirical Evaluation Methods for AI Consciousness:Eleos has been at the forefront of developing empirical methods to assess consciousness and moral status in AI systems. Notably, our research includes the paper "Looking Inward: Language Models Can Learn About Themselves by Introspection", which explores the capacity of large language models to introspect and report on their internal states. Such work aims to establish reliable indicators of AI consciousness, informing both ethical considerations and regulatory frameworks.
    Geographies
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    Dates
    Jan 1, 2024 – Dec 31, 2024
    Source
    990
    No causes provided
    No populations provided
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  • Strategic Engagement with AI Stakeholders

    Strategic Engagement with AI Industry and Policy Stakeholders:Recognizing the importance of bridging research and practice, Eleos has actively engaged with leading AI companies and policymakers. By providing expert advice and developing practical governance frameworks, Eleos ensures that considerations of AI welfare are integrated into real-world applications.
    Geographies
    Not indicated
    Dates
    Jan 1, 2024 – Dec 31, 2024
    Source
    990
    No causes provided
    No populations provided
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