Z. (2021). To trust or to think: Cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–21. Burton J. W., Stein M.-K., Jensen T. B. (2020). A systematic review of algorithm ...
If overreliance on artificial intelligence recommendations is domain-specific (such that users incorrectly assume that the AI is correct in its recommendation at different levels in different applications or domains), then the externalities associated with this misplaced trust might be distributed in...
● Over-reliance on Explanations: Users might over-rely on explanations without critically evaluating the AI's performance [32]. This could lead to complacency and failure to detect errors. Key Considerations for Implementing XAI ● Clearly Define the Purpose and Audience: Understand the specific rea...
behavior of a black-box AI with a simpler model (e.g., a linear model) that can be interpreted19. Other methods rely on game theory to estimate the contribution of each model input to the model output while considering possible interaction effects20. Such explanation techniques are commonly u...
For example, overreliance and algorithm aversion are two common cognitive biases that refer to the decision-making processes and the adoption of AI systems, respectively. To counteract these, prior literature has presented several remedies, such as describing the functional logic of an algorithm70, ...
An increase in the reliance on FMs in health geography requires the models to be highly credible. That is, users must be confident in the model’s output. This encompasses both accuracy and consistency. A model must be able to withstand bias and noise in the input data while producing consi...
processing (NLP) and was one of theearliest examples of generative AI. These early implementations used a rules-based approach that broke easily due to a limited vocabulary, lack of context and overreliance on patterns, among other shortcomings. Early chatbots were also difficult to customize and...
Here’s the kicker: DeepSeek achieves this by focusing onsoftware innovationrather than brute-force hardware reliance. For instance, its R1 model outperformed OpenAI’s comparable systems while using 40% less compute power. This isn’t just a technical win—it’s a game-changer for enterprises ...
Situating the AI output with other patient information can nurture a more balanced relationship between AI-generated insight and coaches’ own patient assessments, which can counterbalance effects of over-reliance and over-trust in potentially fallible AI predictions (also referred to asauto...
Navigating this space is a thin rope to walk, as over-reliance on AI risks diminishing human autonomy, while restrictive policies may stifle innovation. Continuous research in this area is key. If approached thoughtfully, AI can serve as a cognitive prosthetic, enhancing communication while ...