Rashidujjaman Rifat
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rifat-r2d2.bsky.social
Rashidujjaman Rifat
@rifat-r2d2.bsky.social
220 followers 200 following 3 posts
CS Ph.D. candidate at the University of Toronto; HCI, CSCW, Ethics in AI, Pluralism.

More: https://www.rashidujjaman.com/
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Reposted by Rashidujjaman Rifat
priyankav.bsky.social
Presenting at #CHI2025! If you are interested in cooperatives, non-profit organizations, data practices, or the design of data tools (especially fintech), join me at:

🗓️ Tuesday, April 29
🕰️ 4:20 PM
📍 Annex Hall F206

dl.acm.org/doi/10.1145/...

co-authors: @rifat-r2d2.bsky.social Dr. Samar Sabie
Management, Cooperation, and Sustainability: Unpacking the Data Practices of Housing Cooperatives | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
dl.acm.org
April 27, 2025 at 9:47 AM
rifat-r2d2.bsky.social
Starting in Fall 2025, I am joining the University of Notre Dame as a tenure-track Assistant Prof of Tech Ethics & Global Affairs at the Keough School of Global Affairs, with a concurrent appointment in Computer Science & Engineering. Thrilled for this next chapter of my career!
March 7, 2025 at 9:01 PM
Reposted by Rashidujjaman Rifat
posada.website
New paper co-authored with 41 (!) colleagues, titled “Factors Influencing Trust in Algorithmic Decision-Making” and published in Frontiers in Artificial Intelligence. We consider the importance of literacy in the critical evaluation of algorithms, including a section I contributed on data work.
The image is a screenshot of an academic research article published in Frontiers in Artificial Intelligence. The title of the paper is "Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment." The authors include Fernando Marmolejo-Ramos, Rebecca Marrone, and numerous other researchers from various institutions. The article discusses the role of statistical literacy and explainability in shaping trust in algorithms, based on a study involving 1,921 participants from 20 countries. The study finds that statistical literacy is negatively associated with trust in high-stakes situations but positively associated in low-stakes scenarios with high algorithm familiarity. The article suggests policymakers should promote statistical/AI literacy to address misconceptions about algorithms. The keywords include "algorithms, data, AI, trust, statistical literacy, explainability." The screenshot also contains journal details, an abstract, and copyright information.
March 4, 2025 at 7:52 PM