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Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar
Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar
Articles, Book Chapters, & Popular Press
This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …
Revisioning The Oversight Of Research Involving Humans In Canada, Jocelyn Downie, Fiona Mcdonald
Revisioning The Oversight Of Research Involving Humans In Canada, Jocelyn Downie, Fiona Mcdonald
Articles, Book Chapters, & Popular Press
When individuals are asked to participate in research they should be able to assume that the research "is well designed and well executed, that the investigator is competent to undertake the study, that the study will be run efficiently, safely, and ethically and that the deviations from good practice will be identified and corrected." The central question that we focus on in this paper is whether the governance mechanisms that are currently in place to regulate the conduct of research involving humans are adequate to enable those who are approached to participate in research to make these assumptions. This review …