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Due to regulatory processes that have been put in place partly due to experiments such as those. No such regulatory processes yet exist for machine learning research.
Same argument can be made for medical ethics. Many disciplines, even other engineering disciplines, have clearly regulated ethical standards.
How is our field an exception given well-known applications that affect people's lives and freedoms like predictive policing, person re-identification that can be used in surveillance states, etc?
Do we need regulatory processes that pertain to ML systems? I’d say without any hesitation: yes. Who should decide? Having the community self-regulate until formal regulation is in place sounds like a good start to me.
These were my thoughts exactly. Ideally there would be more rigorous formalized standards. As a stop gap it's hard to imagine a better solution than peer reviewers and area/program chairs enforcing ethics. Absolutely we should strive for something codified in the long term
It's important to put good people and robust processes in place if this can lead to a reject. There will no doubt be an imperfect, biased process to an extent, since reviewing the experimental part of the science is also far from perfect, as we know now.
Well, if we as a research community don't, who will? And someone will.
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