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Machine learning has proven powerful in some narrow contexts but is now being applied across any and every possible domain. The justification of this extension is greater control and efficiency, a safer and less risky world. This bright promise, however, rests on an illusion of human-algorithm complementarity. The direction of AI applications is not toward complementarity with humans’ abilities but with their devaluation and displacement. In submitting ourselves to machine judgment, we are undermining our own and depriving ourselves of skills, ways of learning, and means to face unforeseen events and conflicts. The world is not thereby safer, it is more fragile.
