Queering Machine Learning

Jul 12, 2020



I'd like to pose the question of whether it is important to meet and organise as Queer in AI (or any of the other community groups we belong to). This question will take a path of asking what it means 'to queer' our field of machine learning, by critiquing its technical values. This queering of our field allows us to both question the path of technological change we are contributing to, as well as the forms those contributions might take. Going from technical frameworks in machine learning, a history of queer activism, and thinking about the role of inclusion and solitude, I'd like to weave a story of of criticism and connection, and of the ways that we can create collective strength. It is by drawing on this strength that I believe we can demonstrate the types of alternative community that are already possible, and continue our work to develop the future technology that supports greater wellbeing for everyone.



About ICML 2020

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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