Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Explaining Decision-Making Algorithms through UI - Strategies to Help Non-Expert Stakeholders

Association for Computing Machinery (ACM) via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore strategies for explaining decision-making algorithms through user interfaces to non-expert stakeholders in this 20-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems. Delve into research findings on design principles for explanation interfaces that effectively communicate algorithmic decision-making processes. Discover how interactive and "white-box" explanations can improve users' comprehension of algorithms, and examine the trade-offs between effectiveness and time investment. Gain insights into the surprising relationship between algorithm comprehension and user trust. Learn about the study's methodology, design process, and user demographics, and consider the implications for future research and development in the field of algorithmic transparency and explainability.

Syllabus

Introduction
Machine Learning Algorithms
Challenges
Explanation Matters
Our Goal
Innovation Strategy 1
Innovation Strategy 2
Summary
Methods
Design Process
User Profile
User Demographic
Results
Research Question 1
Trust
Why
Future
Thank you
Questions
Confidence

Taught by

ACM SIGCHI

Reviews

Start your review of Explaining Decision-Making Algorithms through UI - Strategies to Help Non-Expert Stakeholders

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.