Publication AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. Vera Liao, Jennifer Wortman Vaughan August 2023
Publication Patterns of gender-specializing query reformulation Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand 2023 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
Publication FairPrism: Evaluating Fairness-Related Harms in Text Generation Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann (HE/HIM), Hanna Wallach ACL 2023 | July 2023
Publication AHA! Facilitating AI Impact Assessment by Generating Examples of Harms Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi June 2023
Publication Can Workers Meaningfully Consent To Workplace Wellbeing Technologies? Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha 2023 ACM Conference on Fairness, Accountability, and Transparency | June 2023 Project
Publication The Kitmus Test: Evaluating Knowledge Integration From Multiple Sources In Natural Language Understanding Systems Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung ACL 2023 | May 2023
Publication Focus Time for Wellbeing and Work Engagement of Information Workers Koustuv Saha, Shamsi Iqbal CHI EA ’23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023 Project Project
Publication fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks Steven Moore, Q. Vera Liao, Hariharan Subramonyam CHI 2023 | April 2023
Publication Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | April 2023 Project
Publication Overview of the TREC 2022 deep learning track Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff Text REtrieval Conference (TREC) | March 2023 Download
