Hugh Linehan: Creatives waking up to threat of big tech's AI training models

The article highlights the intensifying conflict between creative professionals and AI developers over the unauthorized use of copyrighted works to train generative models. This dispute has mobilized thousands of artists and writers, who argue that mining creative output without permission threatens livelihoods and violates ethical standards. Unlike simple plagiarism, AI systems distill themes and styles from these works, creating a new form of exploitation that existing copyright frameworks struggle to address. Legal challenges and regulatory debates reveal a significant bias toward AI industry interests. Recent court rulings have often dismissed claims of direct infringement while focusing on unfair competition, and governments in the UK and EU are considering "opt-out" frameworks. These policies shift the burden onto creators to prevent their work from being used, rather than requiring companies to seek prior consent. Critics warn this approach is unsustainable for individual artists and effectively grants tech companies unrestricted access to human creativity. This issue is critical for the open data community as it challenges the assumption that accessible data is freely usable for all purposes. The struggle for an "opt-in" system underscores the need for transparency and explicit consent in data practices. If AI training remains shielded by commercial confidentiality and permissive regulations, it undermines principles of fair use and attribution. The outcome will determine whether data ownership remains with creators or is appropriated by corporations, impacting how open data can be ethically utilized in the future.

Source: irishtimes.com
Published on 2024-10-27

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