This is called going above and beyond for job assigned to you.

Our paper on studying over-reliance in claim verification with the help of an LLM assistance arxiv.org/abs/2310.12558 Re mitigation: we find that showing users contrastive explanations—reasoning both why a claim may be true and why it may be false—helps counter over-reliance to some extent.

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Despite hopes that explanations improve fairness, we see that when biases are hidden behind proxy features, explanations may not help. Navita Goyal, Connor Baumler +al IUI’24 hal3.name/docs/daume23... >

Large Language Models Help Humans Verify Truthfulness—Except When They Are Convincingly Wrong Should one use chatbots or web search to fact check? Chatbots help more on avg, but people uncritically accept their suggestions much more often. by Chenglei Si +al NAACL’24 hal3.name/docs/daume24... >

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