AI Ethics urges that we put AI into settings that have been mired in human biases, aiming to remove the bias via replacement by AI, though this turns out to have some twists and turns, as exemplified via AI-based self-driving cars.
As you might directly guess, trying to pin down the specifics underlying these principles can be extremely hard to do. Even more so, the effort to turn those broad principles into something entirely tangible and detailed enough to be used when crafting AI systems is also a tough nut to crack.
Another means of coping with humans and their untoward biases would be to automate human-based work. Yes, simply remove the human from the loop. Do not allow a human to perform a decision-making task and you presumably no longer have any lingering worries about the human bearing toward any untoward biases. There isn’t a human involved and thus the problem of potential human biases seems to be solved.
The AI has the same untoward biases as the being-replaced humans and thusly the AI-based ADM is troubling I think you can guess where this is heading. If the humans that have been doing the work for years upon years have been incorporating untoward biases, the odds are that the data reflects this in subtle but significant ways. The Machine Learning or Deep Learning computational pattern matching will simply try to mathematically mimic the data accordingly. There is no semblance of common sense or other sentient aspects of the modeling per se.
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AI Ethics Saying That AI Should Be Especially Deployed When Human Biases Are AplentyAI Ethics urges that we put AI into settings that have been mired in human biases, aiming to remove the bias via replacement by AI, though this turns out to have some twists and turns, as exemplified via AI-based self-driving cars.
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