| Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support A Kawakami, V Sivaraman, HF Cheng, L Stapleton, Y Cheng, D Qing, ... 🏆 Proceedings of the 2022 CHI Conference on Human Factors in Computing …, 2022 | 52 | 2022 |
| Privacy and activism in the transgender community A Lerner, HY He, A Kawakami, SC Zeamer, R Hoyle Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 45 | 2020 |
| How Risky Are Real Users'{IFTTT} Applets? C Cobb, M Surbatovich, A Kawakami, M Sharif, L Bauer, A Das, L Jia Sixteenth Symposium on Usable Privacy and Security (SOUPS 2020), 505-529, 2020 | 41 | 2020 |
| How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions HF Cheng, L Stapleton, A Kawakami, V Sivaraman, Y Cheng, D Qing, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 36 | 2022 |
| The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories A Kawakami, K Umarova, E Mustafaraj Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 17 | 2020 |
| “Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts A Kawakami*, V Sivaraman*, L Stapleton, HF Cheng, A Perer, ZS Wu, ... Designing Interactive Systems Conference, 454-470, 2022 | 16 | 2022 |
| A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms A Coston, A Kawakami, H Zhu, K Holstein, H Heidari 🏆 Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine …, 2022 | 15 | 2022 |
| The'Fairness Doctrine'lives on? Theorizing about the Algorithmic News Curation of Google's Top Stories A Kawakami, K Umarova, D Huang, E Mustafaraj Proceedings of the 31st ACM Conference on Hypertext and Social Media, 59-68, 2020 | 13 | 2020 |
| Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments & Impacted Communities L Stapleton, D Saxena, A Kawakami, T Nguyen, A Ammitzbøll Flügge, ... Companion Publication of the 2022 Conference on Computer Supported …, 2022 | 4 | 2022 |
| Towards a Learner-Centered Explainable AI: Lessons from the learning sciences A Kawakami, L Guerdan, Y Cheng, A Sun, A Hu, K Glazko, N Arechiga, ... CHI 2022 Workshop on Human-Centered Explainable AI (HCXAI), 2022 | 3 | 2022 |
| Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? S Chowdhary, A Kawakami, ML Gray, J Suh, A Olteanu, K Saha Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 2 | 2023 |
| Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders A Kawakami, S Chowdhary, ST Iqbal, QV Liao, A Olteanu, J Suh, K Saha arXiv preprint arXiv:2303.06794, 2023 | 2 | 2023 |
| Extended Analysis of" How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions" L Stapleton, HF Cheng, A Kawakami, V Sivaraman, Y Cheng, D Qing, ... arXiv preprint arXiv:2204.13872, 2022 | 2 | 2022 |
| Training towards critical use: Learning to situate ai predictions relative to human knowledge A Kawakami, L Guerdan, Y Cheng, K Glazko, M Lee, S Carter, N Arechiga, ... Proceedings of The ACM Collective Intelligence Conference, 63-78, 2023 | 1 | 2023 |
| Community-driven AI: Empowering people through responsible data-driven decision-making R Wan, A Alvarado Garcia, D Saxena, C Vajiac, A Kawakami, L Stapleton, ... Companion Publication of the 2023 Conference on Computer Supported …, 2023 | | 2023 |
| Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design A Kawakami, A Coston, H Zhu, H Heidari, K Holstein CHI 2023 Workshop on Designing Technology and Policy Simultaneously, 2023 | | 2023 |
| Uncovering and Enriching Users’ Mental Models about Google’s Top Stories News Algorithm A Kawakami | | 2021 |
| Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use A KAWAKAMI, A COSTON, H HEIDARI, K HOLSTEIN, H ZHU | | |
Kenneth HolsteinCarnegie Mellon UniversityVerified email at cs.cmu.edu
