Podcast: Finding ways to better pay artists in the age of generative AI

The rise of large language models poses a significant threat to creative industries, with publishers reportedly infringing on copyright to enhance their technologies. However, this challenge may not be insurmountable, according to digital law professor Yaniv Benhamou.

In a recent podcast episode titled "IA qu'à m'expliquer," Benhamou shares insights from his new book on the subject. He discusses the current stakes involved and outlines potential solutions to compel major tech companies to redistribute value to creators. The conversation aims to address how artists can be better compensated in the era of generative AI.

Beyond the core issue of artist remuneration, the podcast also covers other relevant news in the AI space. This includes a communication initiative by Anthropic and the growing concerns surrounding voice cloning technology. The ease with which unique biometric characteristics like voice can be manipulated through online services is highlighted as a point of concern.

The episode was produced by Grégoire Barbey, with editorial oversight from Célia Héron, deputy editor-in-chief of Le Temps. The discussion is particularly relevant for those in creative fields and for anyone interested in the ethical and legal implications of artificial intelligence.

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AI qu'à m'expliquer