From Rupert Murdoch to Thom Yorke: the growing backlash to AI

This article highlights the intensifying conflict between creative professionals and AI developers over the unauthorized use of copyrighted works for training large language models. Artists, writers, and major publishers argue that this practice constitutes a significant threat to their livelihoods, challenging the legal doctrine of "fair use." The widespread mobilization of thousands of creators and high-profile lawsuits indicates a decisive shift toward demanding licensing agreements and recompense, asserting that intellectual property must be valued and protected rather than freely scraped. The regulatory landscape is becoming a critical battleground, with divergent approaches emerging between the US and the UK. While US courts and companies grapple with copyright lawsuits, UK legislators are considering changes to allow commercial text and data mining, a move criticized by publishers as legitimizing the exploitation of creative content without payment. This regulatory uncertainty underscores the urgent need for clear legal frameworks that balance technological innovation with the economic sustainability of the creative industries, ensuring that AI growth does not come at the expense of human authors’ rights. Beyond legal disputes, the article reveals the complex internal stance of media publishers, who simultaneously fight AI companies in court while experimenting with these tools internally to cut costs. This duality creates anxiety among journalism staff regarding job security and content quality, as commercially pressured outlets may prioritize efficiency over ethical standards. The situation is particularly relevant to open data, as it demonstrates that the open access of data for AI training is not a neutral technical process but a contested economic and legal issue that directly impacts the viability of the open knowledge ecosystem and the creators who produce it.

Source: theguardian.com
Published on 2024-10-26

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