Is Artificial Intelligence the Answer to Everything?

Recent advances in artificial intelligence technology are creating new opportunities for computing solutions. AI has become very popular, and is widely used for many different applications. However, it is not a silver bullet, and could produce inferior results, wasting time and money if not used appropriately. But there is as yet little guidance about when and where AI should be used, and where traditional deterministic solutions should be used. We describe characteristics of problems that indicate appropriateness for AI solutions. These characteristics are based on the inherent uncertainty of the problem’s inputs, outputs, and transformation between them. Analysis of the uncertainty forms the basis of guidelines one can use when considering whether to employ AI-based solutions for a given problem.

Authors

Institutions

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ietc64455.2025.11039346
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Is Artificial Intelligence the Answer to Everything?

George Rudolph, Neil B. Harrison, Peter Aldous
Knowledge Management and Technology
article

Is Artificial Intelligence the Answer to Everything?

George Rudolph, Neil B. Harrison, Peter Aldous
article en

Abstract

Recent advances in artificial intelligence technology are creating new opportunities for computing solutions. AI has become very popular, and is widely used for many different applications. However, it is not a silver bullet, and could produce inferior results, wasting time and money if not used appropriately. But there is as yet little guidance about when and where AI should be used, and where traditional deterministic solutions should be used. We describe characteristics of problems that indicate appropriateness for AI solutions. These characteristics are based on the inherent uncertainty of the problem’s inputs, outputs, and transformation between them. Analysis of the uncertainty forms the basis of guidelines one can use when considering whether to employ AI-based solutions for a given problem.

Utah Valley University (US)
Openalex Percentile: Top 83%
Knowledge Management and Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.