Industry perspective examines ethical dilemmas in autonomous systems, highlighting societal intolerance for machine error during moral decision-making.
The transitory and subjective nature of moral inclinations requires ongoing evaluation (9) and iteration of the algorithmic training to ensure that the output continues to resonate broadly with societal norms. Humans, however, are fallible, and morality is a human construct that is subject to change. Despite an engineer's best efforts to train and test an algorithm prior to release, there may be edge cases in which the outcome affronts our (individual and collective) moral principles. As a society, we are generally accepting of human error. We are less forgiving of technology. When presented with hard, ethical dilemmas, is it (morally) justified for humans to demand a higher standard of a mere machine?
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Krishna Sood (2018) studied this question.
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