DR. SASHA LUCCIONI - Founding Member Climate Change AI - Climate Lead & AI Researcher - Hugging Face

Tech, Innovation & Society - The Creative Process: Technology, AI, Software, Future, Economy, Science, Engineering & Robotics Interviews

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.

"My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society.

And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?

The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”

https://www.sashaluccioni.com
https://huggingface.co/
http://www.climatechange.ai
https://wimlworkshop.org