Sunday 8 October 2023, 10.00 am EDT / 4.00 pm CET / 10.00 pm China
Generative AI’s reliance on training data to automate aspects of creation raises legal and ethical challenges regarding authorship. It also raises some interesting questions. Do models directly copy elements from the training data, or produce entirely new works? What mechanisms could protect and compensate artists whose work is used for training, or even permit them to opt out, while still allowing new cultural contributions to be made with generative AI models?
This session addresses one of the most fascinating areas of debate that has arisen since the launch of generative AI: legal and ethical questions regarding creative ownership and attribution.
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