AI Overreliance Is a Problem. Are Explanations a Solution?

Stanford researchers show that shifting the cognitive costs and benefits of engaging with AI explanations could result in fewer erroneous ...

AI overreliance is a real problem, but can better explanations fix it?

Stanford researchers explore how simplifying AI explanations and increasing engagement could lead to fewer mistakes.

Stanford HAI on X: "Humans tend to over-rely on AI-recommended ...

Humans tend to over-rely on AI-recommended decisions—even when they're wrong ... AI Overreliance Is a Problem. Are Explanations a Solution? From ...

Overreliance on AI Literature Review - Microsoft

Watch out for potential issues regarding confirmation bias and explanation mismatch. Conduct user research to understand the impact of explanation types and ...

AI Dependency Dilemma: Addressing AI Overreliance with Critical ...

The article titled "AI Overreliance Problem: Are Explanations the Solution?" written by Michael Dennis and Sharad Goel from the Stanford ...

Explanations Can Reduce Overreliance on AI Systems ... - arXiv

Research Question: Under what conditions do people engage with explanations to verify. AI predictions, reducing overreliance? 2.1 Cognitive biases in decision- ...

Overreliance on AI: Addressing Automation Bias Today - Lumenova AI

However, with the rapid adoption of AI comes the risk of overreliance—a subtle but significant challenge where human judgment is overshadowed by ...

Stanford HAI on X: "For researchers finding that explanations don't ...

For researchers finding that explanations don't reduce overreliance, this new study tells a different story: AI Overreliance Is a Problem.

The effects of over-reliance on AI dialogue systems on students ...

Furthermore, the study highlights the issue of data bias: when explanations are overly simplified, it may result in an increased reliance on AI.

Designing for Clarity: UX Strategies to Mitigate AI Overreliance

In conclusion, while AI offers powerful tools for enhancing decision-making, the challenge of overreliance remains significant. It is clear that ...

An experimental study on the extent and costs of overreliance on AI

Overreliance on AI advice negatively affects human cooperation, leading to undesired results for advisees and third parties. •. Participants with higher trust ...

Artificial Intelligence in 2024 - The National Law Review

Overreliance arises when a user misunderstands the results of an AI tool or lacks understanding of how the AI tool works.iii Users may not, for ...

Explanations Can Reduce Overreliance on AI Systems During ...

Prior work has identified a resilient phenomenon that threatens the performance of human-AI decision-making teams: overreliance, ...

Explanations Can Reduce Overreliance on AI Systems During ...

Prior work has identified a resilient phenomenon that threatens the performance of human-AI decision-making teams: overreliance, when people agree with an ...

Navigating the Labyrinth of AI Overreliance - LinkedIn

To address this issue, the researchers conducted experiments to assess whether AI explanations would be more effective if they were easier to ...

As AI systems become increasingly complex, ensuring transparency ...

AI Overreliance Is a Problem. Are Explanations a Solution? Stanford ... Is Neuro Symbolic AI a solution for Explainable AI (XAI)?. It is ...

(PDF) The effects of over-reliance on AI dialogue systems on ...

Our findings indicate that over-reliance stemming from ethical issues of AI impacts cognitive abilities, as individuals increasingly favor fast ...

Explanations Rarely Enable Complementary Performance in AI ...

To synthesize these findings, we propose a simple theory that elucidates the frequent failure of AI explanations to engender appropriate ...

A New Artificial Intelligence Research From Stanford Shows How ...

A New Artificial Intelligence Research From Stanford Shows How Explanations Can Reduce Overreliance on AI Systems During Decision-Making.

Overreliance on AI: Literature Review - Microsoft Research

Overreliance on AI occurs when users start accepting incorrect AI outputs. This can lead to issues and errors that can ultimately make people lose trust in AI ...