YoVDO

Towards a Multi-Stakeholder Value-Based Assessment Framework for Algorithmic Systems

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

Tags

ACM FAccT Conference Courses

Course Description

Overview

Explore a conference talk that delves into the development of a multi-stakeholder value-based assessment framework for algorithmic systems. Learn about the collaborative efforts of Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, and Alessandro Bozzon as they present their research findings and insights on evaluating algorithmic systems from various stakeholder perspectives. Gain valuable knowledge on how to approach the complex task of assessing algorithms while considering diverse values and interests in this 15-minute presentation from the Association for Computing Machinery (ACM).

Syllabus

Towards a multi-stakeholder value-based assessment framework for algorithmic systems


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