Explore a thought-provoking conference talk examining the perceptions of algorithmic accountability among instant loan app users in India. Delve into the research conducted by Divya Ramesh, Vaishnav Kameswaran, Ding Wang, and Nithya Sambasivan as they investigate the complex relationship between users and algorithmic systems in the context of instant loan applications. Gain insights into how users perceive and interact with these algorithms, and understand the implications of the study's findings on the concept of algorithmic accountability. Learn about the unique challenges and perspectives of Indian users in this 19-minute presentation, which sheds light on the intersection of technology, finance, and user behavior in a rapidly evolving digital landscape.
We Cannot Find Fault with a Friend - Perceptions of Algorithmic Accountability Among Instant Loan App Users in India
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
‘We cannot find fault with a friend’: Perceptions of Algorithmic Accountability among Instant Loan..
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ACM FAccT Conference