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ACM grapples with AI's impact on scholarly publishing and author visibility

The Association for Computing Machinery (ACM) is grappling with the evolving landscape of AI's impact on scholarly publishing. Beyond the immediate concern of whether to allow Large Language Models (LLMs) to train on ACM Publications, the organization must strategize on how to maintain the visibility, attribution, and influence of its authors and their work. This involves addressing broader issues such as intellectual property, potential hallucinations, and the commercial concentration of AI systems, while also exploring opportunities to improve AI and expand global access to computing knowledge. AI

IMPACT Scholarly societies must adapt publishing models to ensure author attribution and content visibility in an AI-driven knowledge ecosystem.

RANK_REASON The item discusses the strategic implications of AI for a scholarly society, rather than announcing a new product, research, or policy.

Read on Mastodon — fosstodon.org →

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ACM grapples with AI's impact on scholarly publishing and author visibility

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The item discusses the strategic implications of AI for a scholarly society, rather than announcing a new product, research, or policy.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    "The strategic question facing ACM is no longer simply whether to permit LLMs to train on ACM Publications, but how to ensure that ACM authors, their scholarshi

    "The strategic question facing ACM is no longer simply whether to permit LLMs to train on ACM Publications, but how to ensure that ACM authors, their scholarship, and the version of record remain visible, attributable, and influential within an increasingly AI-mediated knowledge …