Keynote at the Stanford Human-centered AI 2023 Fall Conference on New Horizons in Generative AI: Science, Creativity, and Society. Video TBC. Hello, hello, hello! Thank you so much for having me here today. Believe it or not, it’s actually my … Continue reading Responsibilities of the Pioneer: Generative AI and its Sociotechnical Foundations
Keynote for the 40th International Conference on Machine Learning (ICML 2023). Links to the Video, and Slides (pdf, 30MB). Abstract: This talk talk has a single objective: to advocate for machine learning infused with social purpose. Social purpose here is … Continue reading Machine Learning with Social Purpose
Keynote for AISTATS 2023 in Valencia. You can find the slides here. Video coming soon. Abstract: Evaluation in Machine Learning does not always get the attention it deserves. I hope to focus our attention for the time of this talk … Continue reading Elevating our Evaluations: Technical and Sociotechnical Standards of Assessment in Machine Learning
Keynote at Climate Informatics on 19 April 2023 in Cambridge. Abstract: Generative models are probabilistic models of data that allow easy sampling and exploration of a data distribution using a learned model. In fields, like environment and climate, where access … Continue reading Generative Models for Climate Informatics
A Talk for the 2021 ICML Workshop on Tackling Climate Change with AI. I am extremely grateful to the organisers for the invitation. This is the text of the talk and also has links to the video. Hello everyone and … Continue reading Harnessing Machine Learning to Achieve Net Zero
An Invited Talk for NACCL-HLT 2021, 8 June 2021. I am extremely grateful to the organisers for the invitation, and a special thanks to Prof. Luke Zettlemoyer who hosted the Q&A session that was so much fun. This is the … Continue reading Generating Reality: Technical and Social Explorations in Generative Machine Learning Research
This piece was a contribution to the wonderful book by Gavin Brown, Chapter X in How to Get Your PhD: A Handbook for the Journey (OUP, 2021). It shares one view on how we, as scientists, can respond to diversity and inclusion, and hopefully interesting to everyone (beyond the early-career scientist). A letter to the new research student. You are entering a world of knowledge and research that is constantly changing. For so many of us, that is its allure. Yet, for all our investigations into the natural, informational, mechanistic, or structural world, nature does not shape the world of … Continue reading Inventing Ourselves: Responsibility and Diversity in Research
Was so excited to get this opportunity to talk about pain and learning at the NeurIPS2020 Workshop on Biological and Artificial RL. This is the text of the talk. Collaboration with Daniel Ott. 🎞Watch the video here; 🖥 slides here; 📜 paper … Continue reading Pain and Machine Learning
Savoured the opportunity to talk about writing surveys and reviews at the NeurIPS2020 Workshop on ML Retrospectives, Surveys & Meta-Analyses (ML-RSA) This is the text of the talk. 🎞Watch the video here and 🖥 slides here Hello! My name is … Continue reading Through the Eyes of Birds and Frogs: Writing and Surveys in Machine Learning Research
Was grateful to be given the opportunity to support the 2020 TechAide AI4Good conference. This is the text of the talk. You can find the video here. Greetings! It’s so great to be with you here today as part of … Continue reading Imaginations of Good, Missions for Change