Emma Strubell

AI researchers Emma Strubell and Sasha Luccioni discuss the environmental impact of large language models, addressing carbon emissions, water and energy consumption. They emphasize the need for education, transparency, and awareness within the AI community. The podcast also covers AI's negative effects on dating apps, ethical concerns in relationship advice, debunking misconceptions about AI capabilities, and the potential negative impact of large language models in generating hateful content.

In this episode, Emma Strubell, an assistant professor at Carnegie Mellon University specializing in the environmental impact of AI, challenges Google's claims about its AI model, Gemini. She argues that energy efficiency stats might not reveal the complete picture, stressing the need for better metrics on resource consumption. The discussion also dives into the broader implications of AI technologies on the environment, emphasizing transparency in energy use, and offers best practices for utilizing AI responsibly.

Emma Strubell, an Assistant Professor at Carnegie Mellon’s Language Technologies Institute, dives into the environmental impacts of Google’s Gemini AI model. She challenges claims that the model has negligible resource consumption per query, urging a deeper examination of energy and water usage. The conversation covers best practices for making AI more resource-efficient and the need for standardized reporting in the tech industry. Strubell highlights the tension between AI's potential benefits and its environmental costs, pushing for greater transparency.