YoVDO

We Cannot Find Fault with a Friend - Perceptions of Algorithmic Accountability Among Instant Loan App Users in India

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses

Course Description

Overview

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.

Syllabus

‘We cannot find fault with a friend’: Perceptions of Algorithmic Accountability among Instant Loan..


Taught by

ACM FAccT Conference

Related Courses

Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"
Association for Computing Machinery (ACM) via YouTube
Translation Tutorial - Data Externalities
Association for Computing Machinery (ACM) via YouTube
Translation Tutorial - Causal Fairness Analysis
Association for Computing Machinery (ACM) via YouTube
Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments
Association for Computing Machinery (ACM) via YouTube
Responsible AI in Industry - Lessons Learned in Practice
Association for Computing Machinery (ACM) via YouTube