
Sign up to save your podcasts
Or


“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”
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.com
https://huggingface.co/
http://www.climatechange.ai
https://wimlworkshop.org
By Educators, Writers, Artists, Activists Talk Teaching & Learning: Creative Process Original Series5
2424 ratings
“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”
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.com
https://huggingface.co/
http://www.climatechange.ai
https://wimlworkshop.org

459 Listeners

909 Listeners

5,700 Listeners

1,823 Listeners

10,166 Listeners

1,449 Listeners

1,172 Listeners

3,304 Listeners

3,904 Listeners

2,143 Listeners

1,252 Listeners

388 Listeners

274 Listeners

588 Listeners

148 Listeners

654 Listeners

814 Listeners

26 Listeners

51 Listeners

55 Listeners

46 Listeners

35 Listeners

7 Listeners

88 Listeners

33 Listeners

13 Listeners

7 Listeners

18 Listeners

33 Listeners

39 Listeners

81 Listeners

11 Listeners

35 Listeners

2 Listeners

3 Listeners