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Implications Tutorial - AI on the Ground Approach

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

Tags

ACM FAccT Conference Courses Artificial Intelligence Courses Data Normalization Courses

Course Description

Overview

Explore the complexities of studying AI's societal impact through this comprehensive tutorial presented at FAccT 2021. Delve into the politics of "studying up," addressing challenges in funding, context, infrastructure, data, and normalization. Learn effective strategies for identifying AI-related harms, understanding people's experiences with AI, and how activists create evidence. Examine methods for locating AI within broader systems and assessing its social impact. Gain insights on maintaining working relationships while conducting critical research. Engage with expert perspectives from Noopur Raval, Radhika Radhakrishnan, Ranjit Singh, and Vidushi Marda as they share their "AI on the Ground" approach to understanding the implications of artificial intelligence in society.

Syllabus

Introduction
Politics of Studying Up
Challenges
Funding
Context
Infrastructure
Data
Normalization
Learnings
How do we identify harms
How do people experience AI
How do activists create evidence
Where do you locate AI
AI and social impact
Questions and comments
Maintaining a working relationship


Taught by

ACM FAccT Conference

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