1.0kingkonghttps://kingkong-mag.com/en/Adrien Cornelissenhttps://kingkong-mag.com/en/author/adrien-cornelissen/Choosing an AI model, the artists’ conundrum (2/2)rich600338<blockquote class="wp-embedded-content" data-secret="n8bphPYGwc"><a href="https://kingkong-mag.com/en/choosing-an-ai-model/">Choosing an AI model, the artists’ conundrum (2/2)</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://kingkong-mag.com/en/choosing-an-ai-model/embed/#?secret=n8bphPYGwc" width="600" height="338" title="“Choosing an AI model, the artists’ conundrum (2/2)” — kingkong" data-secret="n8bphPYGwc" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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https://kingkong-mag.com/wp-content/uploads/2024/10/MOTION-660x630.png660630Despite the proliferation of generative artificial intelligence models, many artists still have a restricted view of the tools on the market and their impact. Having already looked into the issues of proprietary, free and open source models, this second part breaks down an essential point of these models: the dataset. Its makeup and the nature of the data have varied repercussions on the standardisation of aesthetics, on the environmental impacts or on the questions relative to copyright. An analysis based on expert testimonies.