The Digital Press

This article warns about the psychological risks of trusting one’s own judgment when interacting with AI tools, especially in software development, where cognitive biases and manipulation can distort perception of AI’s effectiveness. It urges caution and calls for rigorous scientific research rather than anecdotal self-experiments to truly assess AI’s impact.

Why it matters: Cognitive biases can cause even smart developers to overestimate AI’s reliability, leading to risky decisions in critical software systems.

The big picture: The rush to adopt AI tools without proper evidence parallels past acceptance of ineffective or harmful practices, highlighting a need for scientific scrutiny.

The stakes: Unchecked belief in AI’s capabilities may exacerbate existing software flaws, spreading misinformation and potentially causing serious security or productivity issues.

Commenters say: Readers appreciate the caution on AI’s psychological hazards but criticize the dismissal of existing AI benefits and call for balanced, evidence-based evaluation.