Should users be able to tweak AI output?

What the research says

People abandon an algorithm after seeing it make a mistake, even when it beats humans. But letting them adjust its output, even slightly, made them far more willing to keep using it.

So design it like this: Make every AI result editable or adjustable; even small controls boost adoption after errors.

Papers

Algorithm aversion: People erroneously avoid algorithms after seeing them err
Berkeley J. Dietvorst, Joseph P. Simmons, Cade Massey · 2015 · Journal of Experimental Psychology: General
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
Berkeley J. Dietvorst, Joseph P. Simmons, Cade Massey · 2018 · Management Science

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