Jackie Kay

According to our database, Jackie Kay authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

Kenza Benkirane, Jackie Kay, María Pérez-Ortiz

CoRR, 2024

Epistemic Injustice in Generative AI.

Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed

CoRR, 2024

Recourse for Reclamation: Chatting with Generative Language Models.

Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Sociotechnical Safety Evaluation of Generative AI Systems.

Laura Weidinger, Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Juan Mateos-Garcia, A. Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac

CoRR, 2023

Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions.

Yicheng Luo, Jackie Kay, Edward Grefenstette, Marc Peter Deisenroth

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

A Generalist Agent.

Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Trans. Mach. Learn. Res., 2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller

Nat., 2022

Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings.

Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Subverting machines, fluctuating identities: Re-learning human categorization.

Christina Lu, Jackie Kay, Kevin R. McKee

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities.

Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

CoRR, 2020

Local Search for Policy Iteration in Continuous Control.

Jost Tobias Springenberg, Nicolas Heess, Daniel J. Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin A. Riedmiller

CoRR, 2020

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation.

Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer.

Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori

CoRR, 2019

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning.

Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell

CoRR, 2019