Content Warning
Dear computer vision researchers, students and practitioners 🔇 🔇🔇
Remi Denton and I have written what I consider to be a pretty comprehensive paper on the harms of computer vision systems reported to date, from different angles, and how people have proposed addressing them, from many angles.
As we say in the introduction, this isn’t a paper from the lens of fairness in machine learning, although we touch on those works a little bit.
▶️ Link for PDF: https://cdn.sanity.io/files/wc2kmxvk/revamp/79776912203edccc44f84d26abed846b9b23cb06.pdf
Screenshot of the table of contents, part 1
Contents
1 Introduction 217
2 Positionality 221
3 Overview of Risks and Harms Associated with Computer
Vision Systems and Proposed Mitigation Strategies 223
3.1 Representational Harms . . . . . . . . . . . . . . . . . . . 223
3.2 Quality-of-Service and Allocative Harms . . . . . . . . . . 229
3.3 Interpersonal Harms . . . . . . . . . . . . . . . . . . . . . 237
3.4 Societal Harms: System Destabilization and Exacerbating
Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . 245
4 Frameworks and Principles for Computer Vision
Researchers 266
4.1 Guidelines for Responsible Data and Model Development . 267
4.2 Measurement Modeling . . . . . . . . . . . . . . . . . . . 271
4.3 Reflexivity . . . . . . . . . . . . . . . . . . . . . . . . . . 273
5 Reorientations of Computer Vision Research 276
5.1 Grounded in Historical Context and Considering
Power Dynamics . . . . . . . . . . . . . . . . . . . . . . . 276
5.2 Small, Task Specific . . . . . . . . . . . . . . . . . . . . . 279
5.3 Community-Rooted . . . . . . . . . . . . . . . . . . . . . 280
Screenshot of the table of contents, part 2.
6 Systemic Change 285
6.1 Collective Action and Whistleblowing . . . . . . . . . . . . 285
6.2 Refusal/The Right not to Build Something . . . . . . . . . 287
6.3 Independent Funding Outside of Military and Multinational
Corporations . . . . . . . . . . . . . . . . . . . . . . . . . 289
7 Conclusion 291
References 293
