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Rashidujjaman Rifat

@rifat-r2d2.bsky.social

CS Ph.D. candidate at the University of Toronto; HCI, CSCW, Ethics in AI, Pluralism. More: https://www.rashidujjaman.com/

75 Followers  |  199 Following  |  3 Posts  |  Joined: 10.01.2025  |  1.4819

Latest posts by rifat-r2d2.bsky.social on Bluesky

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Management, Cooperation, and Sustainability: Unpacking the Data Practices of Housing Cooperatives | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

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:

πŸ—“οΈ Tuesday, April 29
πŸ•°οΈ 4:20 PM
πŸ“ Annex Hall F206

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

co-authors: @rifat-r2d2.bsky.social Dr. Samar Sabie

27.04.2025 09:47 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

Thank you, Divya!

16.03.2025 04:49 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thank you!

09.03.2025 18:56 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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!

07.03.2025 21:01 β€” πŸ‘ 6    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0
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.

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.

New paper co-authored with 41 (!) colleagues, titled β€œFactors 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.

04.03.2025 19:52 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

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