DeepAI AI Chat
Log In Sign Up

The 30-Year Cycle In The AI Debate

by   Jean-Marie Chauvet, et al.

In the last couple of years, the rise of Artificial Intelligence and the successes of academic breakthroughs in the field have been inescapable. Vast sums of money have been thrown at AI start-ups. Many existing tech companies -- including the giants like Google, Amazon, Facebook, and Microsoft -- have opened new research labs. The rapid changes in these everyday work and entertainment tools have fueled a rising interest in the underlying technology itself; journalists write about AI tirelessly, and companies -- of tech nature or not -- brand themselves with AI, Machine Learning or Deep Learning whenever they get a chance. Confronting squarely this media coverage, several analysts are starting to voice concerns about over-interpretation of AI's blazing successes and the sometimes poor public reporting on the topic. This paper reviews briefly the track-record in AI and Machine Learning and finds this pattern of early dramatic successes, followed by philosophical critique and unexpected difficulties, if not downright stagnation, returning almost to the clock in 30-year cycles since 1958.


page 1

page 2

page 3

page 4


Characterising Research Areas in the field of AI

Interest in Artificial Intelligence (AI) continues to grow rapidly, henc...

Big Tech Companies Impact on Research at the Faculty of Information Technology and Electrical Engineering

Artificial intelligence is gaining momentum, ongoing pandemic is fuel to...

Long-Term Trends in the Public Perception of Artificial Intelligence

Analyses of text corpora over time can reveal trends in beliefs, interes...

The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences

Recent development in AI has enabled the expansion of its application to...

An optimizable scalar objective value cannot be objective and should not be the sole objective

This paper concerns the ethics and morality of algorithms and computatio...

How can I start with AI in agriculture?

To star AI in agriculture you have multiple options to integrate this te...

Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

In November 2016 we submitted to arXiv our paper "Automated Inference on...