Scientific publications are the currecy in which academics are measured, but what if your publication record vanishes from one day to the next? Trans acadamics face this threat when they change their name. I talked to Tess Tennenbaum about the name change policies of academic publishers, surprising victories and the work that lies ahead.

Text-to-image systems do a terrible job at representing marginalised people, and those who market text-to-image systems scramble for mitigation strategies. But what do queer people actually want from these systems? I talked to Eddie Ugless who surveyed 35 non-cisgender people about the harms coming from text-to-image systems and how they want to be depicted by AI.

Most gender-bias papers in natural language processing operate under wrong assumptions and actively hurt the queer community. I talked to Hannah Devinney about changing this frustrating reality, what it takes to build systems that serve queer people and better ways into the future of NLP.

Have you ever wondered how to refer to non-binary people in a language that doesn’t have gender-neutral pronouns? I talked to Manuel Lardelli about his research into gender-fair translation, dealing with resistance and the complexities of language.

This week I talk to Diana Galván about building community and creating visibility with Latinx in AI.

Bringing ethics to a world of AI optimism is no easy task. Read about how Arjun Subramonian tackles it with queer collaborators, sage mentors and their new paper on intersectionality.

A lot of AI ethics work concentrates on the bad things happening, but what could hopeful AI building look like? In this post I talk to Vagrant Gautam about xyr trajectory in the field, about AI as a community garden and the art of balancing technical and ethics work.

Most success stories start with two tech bros in a garage. This one starts with a group of queers at a conference. William Agnew talks about how Queer in AI came into being and how it changed his own outlook on machine learning research.