Article | REF: AG298 V1

Artificial intelligence and innovation - Reliability issues

Author: Jean-François SIGRIST

Publication date: August 10, 2025 | Lire en français

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Overview

ABSTRACT

Artificial intelligence is profoundly transforming many fields: scientific research, engineering, medicine, agriculture, industry, commerce and the environment. Although this technology is becoming more and more powerful, it faces a number of limitations, particularly in terms of reliability. This article explores the main challenges to be met in this respect: the explicability of algorithms, data quality, energy consumption, not forgetting the ethical issues and societal impacts to be anticipated in order to build confidence in this emerging technology.

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AUTHOR

 INTRODUCTION

One of the most promising technologies of the 21st century, Artificial Intelligence (AI) is emerging as a major technological revolution, transforming sectors as diverse as scientific research, medicine and healthcare, industry and agriculture, commerce and finance, education... and artistic creation: almost the entire spectrum of human activities can make use of artificial intelligence! In the companion articles [AG 296] and [AG 297] , we respectively presented the principles of certain artificial intelligence techniques and gave examples to illustrate the variety of its applications.

The rapid development of AI does, however, raise complex challenges that can limit its uses today. Among the most important issues are understanding the algorithms that artificial intelligence implements, the environmental impact of the infrastructures it mobilizes for data storage or computing operations, data reliability and security, and the ethical questions raised by these new uses. This article, which complements the two previously cited, succinctly explores the main reliability issues associated with the use of artificial intelligence, as well as some current research avenues for overcoming certain limitations.

Readers will find these references in the "Further reading" section of this article. An additional bibliography and links to websites provide useful resources for furthering knowledge on the subject.

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KEYWORDS

innovation   |   ethics   |   data   |   reliability   |   artificial intelligence


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