Anna Kawakami

34 papers A* 5A 2Journal 15Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Funding AI for Good: A Call for Meaningful Engagement.
CHI
Hongjin Lin, Anna Kawakami, Catherine D'Ignazio, Kenneth Holstein, Krzysztof Z. Gajos
2026 — conf
Participation, Procurement & Proof of Impact in Public Sector AI Innovation.
CHI Extended Abstracts
Devansh Saxena, Erina Seh-Young Moon, Anna Kawakami, Corey Jackson, Min Kyung Lee, Sarah E. Fox, Shion Guha, Sheena Erete, Jean Hardy
2025 J jnl
AI Failure Loops in Devalued Work: The Confluence of Overconfidence in AI and Underconfidence in Worker Expertise.
CoRR
Anna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Kenneth Holstein
2025 J jnl
Funding AI for Good: A Call for Meaningful Engagement.
CoRR
Hongjin Lin, Anna Kawakami, Catherine D'Ignazio, Kenneth Holstein, Krzysztof Gajos
2024 — conf
AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation.
AIES (1)
Anna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Ken Holstein
2024 — conf
Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders.
AIES (1)
Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova
2024 J jnl
Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders.
CoRR
Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova
2024 — conf
Labor, Visibility, and Technology: Weaving Together Academic Insights and On-Ground Realities.
CSCW Companion
Joy Ming, Lucy Pei, Rama Adithya Varanasi, Anna Kawakami, Nervo Verdezoto, Eunjeong Cheon
2024 J jnl
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
CoRR
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu
2024 J jnl
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
Proc. ACM Hum. Comput. Interact.
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu
2024 J jnl
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals.
CoRR
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2024 A* conf
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals.
CHI
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2023 — conf
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
SaTML
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari
2023 — conf
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
FAccT
Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha
2023 J jnl
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
CoRR
Shreya Chowdhary, Anna Kawakami, Jina Suh, Mary L. Gray, Alexandra Olteanu, Koustuv Saha
2023 — conf
Community-driven AI: Empowering people through responsible data-driven decision-making.
CSCW Companion
Ruyuan Wan, Adriana Alvarado Garcia, Devansh Saxena, Catalina Vajiac, Anna Kawakami, Logan Stapleton, Haiyi Zhu, Kenneth Holstein, Heloisa Candello, Karla A. Badillo-Urquiola
2023 J jnl
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.
CoRR
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2023 J jnl
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders.
CoRR
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Q. Vera Liao, Alexandra Olteanu, Jina Suh, Koustuv Saha
2023 J jnl
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders.
Proc. ACM Hum. Comput. Interact.
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Q. Vera Liao, Alexandra Olteanu, Jina Suh, Koustuv Saha
2023 — conf
Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries.
ACIIW
Jina Suh, Javier Hernandez, Koustuv Saha, Kathy Dixon, Mehrab Bin Morshed, Esther Howe, Anna Kawakami, Mary Czerwinski
2023 — conf
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge.
CI
Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Kate Glazko, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Haiyi Zhu, Kenneth Holstein
2023 J jnl
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge.
CoRR
Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein
2022 A conf
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts.
Conference on Designing Interactive Systems
Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 J jnl
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
CoRR
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari
2022 J jnl
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions".
CoRR
Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022 A* conf
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions.
CHI
Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022 A* conf
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
CHI
Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 J jnl
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
CoRR
Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 J jnl
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences.
CoRR
Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein
2022 — conf
Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities.
CSCW Companion
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
2020 — conf
How Risky Are Real Users' IFTTT Applets?
SOUPS @ USENIX Security Symposium
Camille Cobb, Milijana Surbatovich, Anna Kawakami, Mahmood Sharif, Lujo Bauer, Anupam Das, Limin Jia
2020 A* conf
Privacy and Activism in the Transgender Community.
CHI
Ada Lerner, Helen Yuxun He, Anna Kawakami, Silvia Catherine Zeamer, Roberto Hoyle
2020 — conf
The 'Fairness Doctrine' lives on?: Theorizing about the Algorithmic News Curation of Google's Top Stories.
HT
Anna Kawakami, Khonzoda Umarova, Dongchen Huang, Eni Mustafaraj
2020 A conf
The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories.
ICWSM
Anna Kawakami, Khonzodakhon Umarova, Eni Mustafaraj