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This exhibit gives participants the chance to explore some real-life applications of Text-to-Image (TTI) systems that have the potential to transmit harmful societal biases.
Gen AI is becoming increasingly prevalent and seeing growing adoption as commercial services, characterizing the social biases they exhibit is a necessary first step to lowering their risk of discriminatory outcomes. This exhibit gives participants the chance to explore some real-life applications of systems that have the potential to transmit harmful societal biases.
Switch between professions and adjectives to experience inherent bias in TTI outputs
Dr. Sasha Luccioni
Sasha is a researcher in ethical and sustainable artificial intelligence at HuggingFace, as well as a Founding Member of Climate Change AI and a Board Member of Women in Machine Learning. Her work focuses on having a better understanding of the societal and environmental impacts of AI models, datasets and systems.
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