Privacy and Activism in the Transgender Community. - Ada Lerner; Helen Yuxun He; Anna Kawakami; Silvia Catherine Zeamer; Roberto Hoyle (CHI, 2020)

The 'Fairness Doctrine' lives on?: Theorizing about the Algorithmic News Curation of Google's Top Stories. - Anna Kawakami; Khonzoda Umarova; Dongchen Huang; Eni Mustafaraj (HT, 2020)

The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories. - Anna Kawakami; Khonzodakhon Umarova; Eni Mustafaraj (ICWSM, 2020)

How Risky Are Real Users' IFTTT Applets? - Camille Cobb; Milijana Surbatovich; Anna Kawakami; Mahmood Sharif; Lujo Bauer; Anupam Das 001; Limin Jia 001 (SOUPS @ USENIX Security Symposium, 2020)

"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. - Anna Kawakami; Venkatesh Sivaraman; Logan Stapleton; Hao Fei Cheng; Adam Perer; Zhiwei Steven Wu; Haiyi Zhu; Kenneth Holstein (Conference on Designing Interactive Systems, 2022)

How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. - Hao Fei Cheng; Logan Stapleton; Anna Kawakami; Venkatesh Sivaraman; Yanghuidi Cheng; Diana Qing; Adam Perer; Kenneth Holstein; Zhiwei Steven Wu; Haiyi Zhu (CHI, 2022)

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. - Anna Kawakami; Venkatesh Sivaraman; Hao Fei Cheng; Logan Stapleton; Yanghuidi Cheng; Diana Qing; Adam Perer; Zhiwei Steven Wu; Haiyi Zhu; Kenneth Holstein (CHI, 2022)

Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities. - Logan Stapleton; Devansh Saxena; Anna Kawakami; Tonya Nguyen; Asbjørn Ammitzbøll Flügge; Motahhare Eslami; Naja L. Holten Møller; Min Kyung Lee; Shion Guha; Kenneth Holstein; Haiyi Zhu (CSCW Companion, 2022)

Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". - Logan Stapleton; Hao Fei Cheng; Anna Kawakami; Venkatesh Sivaraman; Yanghuidi Cheng; Diana Qing; Adam Perer; Kenneth Holstein; Zhiwei Steven Wu; Haiyi Zhu (CoRR, 2022)

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. - Anna Kawakami; Luke Guerdan; Yang Cheng; Anita Sun; Alison Hu; Kate Glazko; Nikos Aréchiga; Matthew L. Lee; Scott A. Carter; Haiyi Zhu; Kenneth Holstein (CoRR, 2022)

Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries. - Jina Suh; Javier Hernandez; Koustuv Saha; Kathy Dixon; Mehrab Bin Morshed; Esther Howe; Anna Kawakami; Mary Czerwinski (ACIIW, 2023)

Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. - Anna Kawakami; Luke Guerdan; Yanghuidi Cheng; Kate Glazko; Matthew L. Lee; Scott A. Carter; Nikos Aréchiga; Haiyi Zhu; Kenneth Holstein (CI, 2023)

Community-driven AI: Empowering people through responsible data-driven decision-making. - Ruyuan Wan; Adriana Alvarado Garcia; Devansh Saxena; Catalina Vajiac; Anna Kawakami; Logan Stapleton; Haiyi Zhu; Kenneth Holstein; Heloisa Candello; Karla A. Badillo-Urquiola (CSCW Companion, 2023)

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? - Shreya Chowdhary; Anna Kawakami; Mary L. Gray; Jina Suh; Alexandra Olteanu; Koustuv Saha (FAccT, 2023)

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. - Amanda Coston; Anna Kawakami; Haiyi Zhu; Ken Holstein; Hoda Heidari (SaTML, 2023)

Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design. - Anna Kawakami; Amanda Coston; Haiyi Zhu; Hoda Heidari; Kenneth Holstein (CoRR, 2023)

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders. - Anna Kawakami; Shreya Chowdhary; Shamsi T. Iqbal; Q. Vera Liao; Alexandra Olteanu; Jina Suh; Koustuv Saha (Proc. ACM Hum. Comput. Interact., 2023)

AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation. - Anna Kawakami; Jordan Taylor; Sarah E. Fox; Haiyi Zhu; Ken Holstein (AIES (1), 2024)

Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders. - Anna Kawakami; Daricia Wilkinson; Alexandra Chouldechova (AIES (1), 2024)

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. - Anna Kawakami; Amanda Coston; Haiyi Zhu; Hoda Heidari; Kenneth Holstein (CHI, 2024)

Labor, Visibility, and Technology: Weaving Together Academic Insights and On-Ground Realities. - Joy Ming; Lucy Pei; Rama Adithya Varanasi; Anna Kawakami; Nervo Verdezoto; EunJeong Cheon (CSCW Companion, 2024)

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. - Anna Kawakami; Amanda Coston; Hoda Heidari; Kenneth Holstein; Haiyi Zhu (Proc. ACM Hum. Comput. Interact., 2024)