Grand Challenge 1
How do we design AI in a way that is transparent and equally beneficial to all?
AI has the potential to increase productivity, enhance creativity, and accelerate discovery. It also has the potential to generate unintended consequences for individuals and communities who don’t fit a default user profile.
AI is already transforming the way many organizations and people work in Washington state owing to the concentration of companies at the forefront of AI development, and the trend is expected to spread. Allen School researchers are advancing the state of the art in AI research with an emphasis on open source, open data, and open processes, to enable both deeper, broader scientific understanding and broader participation in designing AI for the needs and preferences of different populations — while mitigating potential harms.
Selected Projects
Umar Iqbal, Tadayoshi Kohno, and Franziska Roesner, 7th AAAI Conference on AI, Ethics, and Society (AIES), October 2024
Kentrell Owens, Erin Freiburger, Ryan Hutchings, Mattea Sim, Kurt Hugenberg, Franziska Roesner, and Tadayoshi Kohno. 7th AAAI Conference on AI, Ethics, and Society (AIES), October 2024
Natalie Grace Brigham, Chongjiu Gao, Tadayoshi Kohno, Franziska Roesner, and Niloofar Mireshghallah.
Socially Responsible Language Modeling Research (SoLaR) (NeurIPS Workshop), December 2024
Socially Responsible Language Modeling Research (SoLaR) (NeurIPS Workshop), December 2024
Yuhao Wu, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, and Umar Iqbal.
Network and Distributed System Security Symposium (NDSS), February 2025
Network and Distributed System Security Symposium (NDSS), February 2025
Miranda Wei, Christina Yeung, Franziska Roesner, and Tadayoshi Kohno.
ACM Conference on Human Factors in Computing Systems (CHI), April 2025
ACM Conference on Human Factors in Computing Systems (CHI), April 2025
Poddar, Sriyash, Yanming Wan, Hamish Ivison, Abhishek Gupta, and Natasha Jaques. Advances in Neural Information Processing Systems (NeurIPS) (Spotlight; top 2%) 37 (2024): 52516-52544.
This grant investigates bias, privacy, and security risks when GAI is used in assistive technology contexts and for accessibility, and they explore possibilities for addressing these risks.
Kate S. Glazko, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff
FAccT 2024: 687-700
FAccT 2024: 687-700
Abhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke and Maarten Sap, NAACL, 2025
Kevin Feng, Rock Yuren Pang, Tzu-Sheng Kuo, Amy Winecoff, Emily Tseng, David Gray Widder, Harini Suresh, Katharina Reinecke and Amy Zhang, CHI Workshop, 2025.
Katharina Reinecke, Princeton University Press, 2025.
Jeffrey Basoah, Jay Cunningham, Erica Adams, Alisha Bose, Aditi Jain, Kaustubh Yadav, Zhengyang Yang, Katharina Reinecke and Daniela Rosner, “Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users”, Proceedings of the ACM on Human Computer Interaction (PACM), 2025
Jeffrey Basoah, Daniel Chechelnitsky, Tao Long, Katharina Reinecke, Chrysoula Zerva, Kaitlyn Zhou, Mark Díaz and Maarten Sap, Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025
Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, and Katharina Reinecke. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
ACL, 2024
ACL, 2024
OLMo Team, Evan Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Allyson Ettinger, Michal Guerquin, David Heineman, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James Validad Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Jake Poznanski, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
COLM, 2025
COLM, 2025
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James Validad Miranda, Alisa Liu, Nouha Dziri, Xinxi Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Christopher Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
COLM, 2025
COLM, 2025