Anna Kawakami
Orcid: 0009-0000-6937-6370
According to our database1,
Anna Kawakami
authored at least 22 papers
between 2020 and 2024.
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Bibliography
2024
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
Proc. ACM Hum. Comput. Interact., 2024
Labor, Visibility, and Technology: Weaving Together Academic Insights and On-Ground Realities.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
2023
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders.
Proc. ACM Hum. Comput. Interact., 2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.
CoRR, 2023
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Community-driven AI: Empowering people through responsible data-driven decision-making.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge.
Proceedings of The ACM Collective Intelligence Conference, 2023
Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023
2022
CoRR, 2022
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions".
CoRR, 2022
Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities.
Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts.
Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022
2020
Proceedings of the Sixteenth Symposium on Usable Privacy and Security, 2020
The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
The 'Fairness Doctrine' lives on?: Theorizing about the Algorithmic News Curation of Google's Top Stories.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020