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Using AI for Climate Resilience Costs, Challenges, and Opportunities
Sasha Luccioni
Researcher in Artificial Intelligence, Climate Lead at HuggingFace
- Leader in ethical and sustainable artificial intelligence, where her work paves the way towards a better understanding of the societal and environmental impacts of AI technologies
- Passionate about finding ways to maximize the positive impacts of AI while also minimizing the negative effects of AI
- Advisor to organizations like the OECD, the NeurIPS conference and the UN on responsible AI development and deployment
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Sasha Luccioni is a leading researcher in ethical artificial intelligence. Over the last decade, her work has paved the way to a better understanding of the societal and environmental impacts of AI technologies.
Sasha is a Research Scientist and Climate Lead at Hugging Face, a Board Member of Women in Machine Learning, and a founding member of Climate Change AI, a global initiative that aims to catalyze impactful work and build a community at the intersection of climate change and machine learning.
She has been called upon by organizations such as the OECD, the United Nations and the NeurIPS conference as an expert in developing norms and best practices for a more sustainable and ethical practice of AI. Her academic research has been published in conferences and journals such as the IEEE, AAAI, the ACM, and Nature Machine Intelligence. Her work has also been extensively covered in the media by outlets such as the MIT Technology Review, WIRED, the Washington Post and Business Insider.
Speaker Video
AI and climate change: Do we have to slow down development to slow down emissions?
The Planetary Impacts of Artificial Intelligence: Climate change is one of the biggest challenges of our time, and AI is one its biggest technological breakthroughs. Today, it is estimated that the global tech sector accounts for somewhere between 2% and 4% of greenhouse-gas emissions; AI’s contribution to this figure is largely unknown. In my talk, I will present the different environmental impacts of AI and how they compare for popular AI models like GPT and LaMDA, and ways in which these cutting-edge technologies can be used as a positive force for the climate.
Generative AI: the Good, the Bad and the Bias: ChatGPT, Dall-E 2 and other generative AI chatbots have shown incredible prowess at interacting with users and responding to their queries. But as they get deployed in user-facing applications like search and customer-service, keeping their limitations in mind is important. In my talk, I will talk through different use cases of generative AI technologies and showcase both their usefulness and their limitations; I will also present ways forward for developing human-informed, ethical AI technologies and practices.
AI's Potential to Tackle Climate Change: Climate change is an important global issue, with major implications for the world's societies and economies. Addressing it requires innovations in a variety of sectors ranging from transportation to finance, agriculture and industry. AI technologies can be powerful tools in many of these sectors, supporting existing efforts and spearheading innovative ones. In my talk, I will present uses of AI in addressing different climate challenges : detecting deforestation, tracking biodiversity, and identifying climate impacts in financial disclosures, and discuss ongoing work that I am pursuing in these directions.
