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    Law & Ethics
    The Pope’s Love Letter to Humanity at the Dawn of AI

    Pope Leo XIV’s first encyclical, Magnifica Humanitas, brings to bear Catholic social teaching on the impact of artificial intelligence on society. Here, Anna Su reflects on the pope’s message, arguing that within the encyclical’s skepticism of AI and technology lies a more radical appreciation for human imperfection. Magnifica Humanitas also introduces a moral dimension to the AI question. However, for Su, the encyclical falls short in answering questions on the nature of our own humanity and its worth; questions she believes the Catholic Church is well placed to answer.

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    Movements & Mobilization
    Interrogative Reasoning and the Problem with the “Human in the Loop”

    A collaboration between scholars and practitioners, this essay introduces the Theory of Interrogative Reasoning, a community-centered framework that reconceptualizes ethical AI as a function of power, belief, and timing rather than solely technical design. Here, Jameila “Meme” Styles, Zameshia Williams, Jose Teran, and Sylvester Johnson draw on real-world application of this approach to demonstrate how community-led interrogation can transform lived experience into actionable evidence that informs AI governance, system design, and public accountability.

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    Movements & Mobilization
    Bringing Communities into the Loop: A Conversation with Jameila "Meme" Styles

    As AI technology proliferates, many have called for greater protections for those on the other end of the software’s results. Among these advocates is Jameila “Meme” Styles. In this interview, Program Associate Carmina Rangel-Pacheco talks with Meme Styles, 2022 Just Tech Fellow and the founder of Measure, about the limits of human-in-the-loop approaches and Styles’s own proposition for creating stronger and more comprehensive AI and digital safeguards: the theory of interrogated reasoning. Here, she explains this approach and how it came to be.

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    Platforms & Infrastructure
    New Initials, Old Issues: How Remembering Y2K Can Help Us Think about AI

    A quarter of a century later, the year 2000 problem, also known as Y2K, may help us better understand our technology concerns. Historian Zachary Loeb explains the circumstances around Y2K and how the embedding of computer systems into US infrastructure opened it to vulnerabilities, which could potentially be echoed in the near future with the integration of AI.

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