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  • #regulation #AI | Is the current regulatory focus on AI misguided? AI-based services are produced in agile production environments that are decades in the making and concentrated in the hands of a few companies. This article illustrates how AI is only the latest output of these production environments, gives an overview of the socio-technical as well as political-economic concerns these
    Monday | View Shared by teclista
  • #AI #sustainability #AGI #hype | Will AI soon surpass the human brain? If you ask employees at OpenAI, Google DeepMind and other large tech companies, it is inevitable. However, researchers at Radboud University and other institutes show new proof that those claims are overblown.
    Saturday | View Shared by teclista
  • #AI #sustainability | Abstract page for arXiv paper 2409.14160: Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
    Saturday | View Shared by teclista
  • #governance #AI #participation | Read online or Download PDF This report explores how global citizen deliberation, particularly drawing on the concept of a global citizens’ assembly, could and should shape the future of artificial intelligence. Drawing on an extended design lab of in-depth interviews and workshops that took place in mid-2024, it presents a series of options that illustrate a variety of opportunities to bring the voices of those affected by AI development and deployment into decision-making spaces, through processes that can deliver informed and inclusive dialogue. The landscape of AI governance is rapidly evolving. There are open questions at many levels, from setting shared values and visions to guide AI development, to designing specific governance mechanisms or safety standards, and shaping the models and rules for individual and localized applications. There is growing consensus that these questions cannot be answered by the technology industry or individual governments alone. Global publics must be meaningfully involved. The concept of a global citizens’ assembly is a powerful one: inviting individuals from across the globe to join in processes where they have access to expert insights, opportunities to learn, and facilitated space to deliberate together, bringing diverse perspectives and experiences to bear on questions of global importance. In this report we address how established and emerging sites of global AI development and governance can integrate citizen deliberation, setting out five template options: deliberative review of AI summits and scientific reports; an independent global assembly on AI; a series of distributed dialogues organized across the globe; a technology-enabled collective intelligence process; and commissioning of AI topics in other deliberative processes. We present the strengths and weaknesses of these options, and outline additional design considerations they give rise to around recruitment, governance, agenda-setting, transnational dialogue and aggregation of findings, and the use of AI as a delivery tool. In doing so, we aim to support a critical assessment of emerging and future proposals for public participation on AI, both at the global and local level.
    Friday | View Shared by teclista
  • #AI #AIrisks #framing #messaging #narrative | ARTIFICIAL INTELLIGENCE A Messaging Guide What is this? This document outlines some initial principles for communicating about the subject of AI, in particular for broadcast media appearances. As a fast moving subject, this will be a living document, and regularly updated and improved. It has b...
    1 month ago | View Shared by teclista
  • #AI #AIrisks #generativeAI | This CETaS Briefing Paper examines how Generative AI (GenAI) systems may enhance malicious actors’ capabilities in generating malicious code, radicalisation, and weapon instruction and attack planning. It synthesises insights from government practitioners and literature to forecast inflection points where GenAI could significantly increase societal risks. Unlike previous studies focused on technological change, this paper also considers malicious actors’ readiness to adopt technology and systemic factors shaping the broader context. It argues for a sociotechnical approach to AI system evaluation, urging national security and law enforcement to understand how malicious actors' methods may evolve with GenAI
    2 months ago | View Shared by teclista

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