Queer in AI’s presence at AAAI 2023 aims to create a safe and inclusive casual networking and socializing space for LGBTQIA+ individuals and allies involved with AI. We aim to create a community space where attendees can connect with each other, bond over shared experiences, and learn from each individual’s unique insights into AI, queerness, and beyond!

Overview & How to Join

This meeting will take place in-person at AAAI-23 on February 10, 2:00 PM-5:00 PM EST (8:00 PM-11:00 PM UTC) and will be streamed virtually (by AAAI-23) for remote conference attendees. As our meeting is hosted on day 2 of the main AAAI-23 conference, both virtual and in-person participation require a full conference registration.

We will feature speakers that will reflect on the diversity and inclusion of the AI community from 2:00-3:30 PM EST (8:00-9:30 PM UTC). The speakers will be followed and complemented by a 1.5 hour networking and discussion session for all attendees.

As AAAI-23 registration fees are very high, we are further organizing an informal Queer in AI gathering on the evening of February 10th, after the main AAAI event and outside the conference venue. This additional informal event will not require any conference registration or other registration fees. Full information on the venue and how to join will be released a few days prior to the event.

If you are planning to attend in-person, in particular the informal social, please fill out this registration form, so that we can get an estimate count.

Speakers

Jessie Finocchiaro (she/her) is a National Science Foundation Mathematical Sciences Postdoctoral Research Fellow and CRCS Fellow at Harvard University, working with Drs. Yiling Chen and Milind Tambe. She graduated in the CS Theory group at University of Colorado Boulder, advised by Dr. Rafael Frongillo. In general, her research interests intersect Theoretical Machine Learning, Algorithmic Game Theory, and Computational Economics. In particular, she is interested in how {the questions we ask of data, the objectives we optimize} affect what we learn and how this information affects people. Previously, she was a 2019 National Science Foundation Graduate Research Fellow.

Michael Madaio (he/him) is a research scientist at Google Research, working in the Responsible AI and Human-Centered Technology research center. His research draws on methods from human-computer interaction to explore how we might put responsible AI principles into practice, through research with AI developers and members of communities impacted by AI. Prior to joining Google, he was a postdoc at Microsoft Research’s FATE (Fairness, Accountability, Transparency, and Ethics in AI) research group, and he completed his Ph.D. in Human-Computer Interaction from Carnegie Mellon University.

Alfredo Canziani (he/him) is an Assistant Teaching Professor of Computer Science and a Deep Learning Research Scientist at NYU Courant Institute of Mathematical Sciences, under the supervision of professors Kyunghyun Cho and Yann LeCun. His research mainly focusses on Machine Learning for Autonomous Driving. He has been exploring deep policy networks actions uncertainty estimation and failure detection, and long term planning based on latent forward models, which nicely deal with the stochasticity and multimodality of the surrounding environment. Alfredo obtained both his Bachelor (2009) and Master (2011) degrees in Electrical Engineering cum laude at Trieste University, his MSc (2012) at Cranfield University, and his PhD (2017) at Purdue University. In his spare time, Alfredo is a professional musician, dancer, and cook, and keeps expanding his free online video course on Deep Learning and PyTorch.

Contact Us

Email: queerinai@gmail.com

Code of Conduct and Reporting

Please read Queer in AI code of conduct which will be strictly followed in the social. All participants are expected to maintain the confidentiality of the members. Photography is prohibited. Guests must dress smart and be respectful towards staff at all times.

All sessions and socials of Queer in AI adhere to Queer in AI Anti-harassment policy. Any participant who experiences harassment or hostile behavior may contact Queer in AI Safety Team (ANYTIME). Please be assured that if you approach us, your concerns will be kept in strict confidence, and we will consult with you on any actions taken.

Organizers

Martin Mundt (he/him) is a junior research group leader at the Technical University of Darmstadt (TU Darmstadt) and the Hessian Center for Artificial Intelligence (hessian.AI), where he leads the Open World Lifelong Learning (OWLL) lab. He is also a board member of directors at the non-profit organization ContinualAI. Previously, he has obtained a PhD degree in computer science and an M.Sc. in physics from Goethe University.

Raj Korpan (he/him) is an Assistant Professor of Computer Science at Iona College. His research is in explainable artificial intelligence with a focus on autonomous robot navigation using hierarchical planning and cognitive models. He has a PhD in computer science from the Graduate Center of the City University of New York.

Sarah Mathew is a PhD Student at Georgia Institute of Technology.

Matyáš Boháček (he/him) is a student at the Johannes Kepler Gymnasium in the Czech Republic. His research focuses on machine learning methods for detecting deep fakes and disinformation, and he is also working on technology to automatically translate sign language.