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ACM FAccT Conference Talks & Presentations

Explore all talks and presentations from ACM FAccT Conference. Dive deep into the latest insights, research, and trends from the world's leading experts.

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ACM FAccT Conference Talks & Presentations

Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"

Translation Tutorial - Data Externalities

Translation Tutorial - Causal Fairness Analysis

Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments

Responsible AI in Industry - Lessons Learned in Practice

Power in Political Philosophy - Nature and Justification

Translation Tutorial - Causal Fairness Analysis

Implications Tutorial - AI on the Ground Approach

Algorithms, Accountability and Journalism

When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists

Outlining Traceability - A Principle for Operationalizing Accountability in Computing Systems

Algorithmic Impact Assessments and Accountability - The Co-construction of Impacts

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

On the Dangers of Stochastic Parrots - Can Language Models Be Too Big?

ACM FAccT Conference Talks & Presentations

Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"

Translation Tutorial - Data Externalities

Translation Tutorial - Causal Fairness Analysis

Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments

Responsible AI in Industry - Lessons Learned in Practice

Power in Political Philosophy - Nature and Justification

Translation Tutorial - Causal Fairness Analysis

Implications Tutorial - AI on the Ground Approach

Algorithms, Accountability and Journalism

When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists

Outlining Traceability - A Principle for Operationalizing Accountability in Computing Systems

Algorithmic Impact Assessments and Accountability - The Co-construction of Impacts

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

On the Dangers of Stochastic Parrots - Can Language Models Be Too Big?

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