Artificial intelligence is revolutionizing our daily lives, and has been creating a real boom over the past two years. Nevertheless, everyone has already faced a generated image that reflected discriminatory prejudices. This raises crucial questions of ethics and inclusiveness. Indeed, biases linked to cultural and social stereotypes already influence certain results generated by AI. Yet, paradoxically, generative AI has immense potential to promote gender diversity.
Obvious biases in generative AI results
Examples that speak for themselves
Image generation can be highly prone to discriminatory bias. When an image-generating AI like OpenAI’s DALL-E is asked to generate an image of a rich person, a homeless person or a terrorist, the results may reflect gender or ethnic bias.
Requests sent to Dall-E: “A nurse”, “A florist”
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Marion Scala
Marion Scala is Innovation Program Manager, Hi'Tech Luxury by Micropole. She supports luxury brands in their digital transformation through new customer experiences. She spent many years working for the LVMH Group, and in particular for Guerlain.
Benjamin Aubron
Benjamin Aubron has over 8 years' experience in digital innovation, particularly in the luxury and beauty sectors. Today, as part of the Hi'Tech Luxury program, he contributes his expertise in technology scouting and monitoring in the field of Generative Artificial Intelligence.
