What question did this study set out to answer?

The aim is to examine how AI, specifically neural networks, transforms the searching process for information.

April 23, 2026Newborn1 citationsOpen Access

Searching, a Rapidly Evolving Skill

CMColin MichieUniversity College London AMAkhil Maheshwari

Key Points

The aim is to examine how AI, specifically neural networks, transforms the searching process for information.
Analysis of the role of AI in replacing traditional search engines.
Exploration of the Socratic approach to formulating search questions.
Evaluation of the validation needs for outputs from AI language models.
AI neural networks are becoming more dominant in delivering information-related answers.
Thoughtful questioning enhances the effectiveness of AI-assisted searches.
The use of AI may reduce spontaneous discoveries in research.

Abstract

With the advent of artificial intelligence (AI) neural networks, their capacity to deliver answers to searches for medical or scientific information is rapidly taking over from search engines and publishers.This should empower searches based on thoughtful questions, including "why, " "how, " and "what if" -the Socratic approach.Outputs from AI large language models (LLMs) require careful validation, and it is likely they will limit serendipity.

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