To clarify, The Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision is not a technical presentation, it is very much a intersectional

To clarify, The Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision is not a technical presentation, it is very much a intersectionalistic take on the topic, more concerned with power, oppression, and social justice than engineering. Suggested technical solutions [1 above] was exactly one sentence and the only sentence in the presentation that suggested any sort of technical approach, presented without elaboration, and the recommended solutions like Counterfactual Testing are also methods for fixing the training data. The remaining 99% of the presentation was spent on the idea that if AI engineers and scientists were more diverse and attended more diversity training, the models they produce hopefully wouldn't be biased.