“I think it's kind of important to think about the fact that originally, neural networks were inspired by neurons, really by our brains, but fundamentally, brains are really different than AI models, currently. Brains are quite efficient. For example, we won't be using all of our neurons all the time. If we're recognizing a face, or if we're speaking, or if we're drawing, or if we're watching a movie, or reading a book, there are different zones. And I think that that's kind of the core of the issue because whereas we can kind of use a portion of our brain, depending on the activity, neural networks don't have that built-in efficiency.”What are the pros and cons of AI’s integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org