"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?

03/29/2021
by   Bin Liu, et al.
0

AI has surpassed humans across a variety of tasks such as image classification, playing games (e.g., go, "Starcraft" and poker), and protein structure prediction. However, at the same time, AI is also bearing serious controversies. Many researchers argue that little substantial progress has been made for AI in recent decades. In this paper, the author (1) explains why controversies about AI exist; (2) discriminates two paradigms of AI research, termed "weak AI" and "strong AI" (a.k.a. artificial general intelligence); (3) clarifies how to judge which paradigm a research work should be classified into; (4) discusses what is the greatest value of "weak AI" if it has no chance to develop into "strong AI".

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/06/2016

AI Researchers, Video Games Are Your Friends!

If you are an artificial intelligence researcher, you should look to vid...
research
09/04/2018

A Roadmap for the Value-Loading Problem

We analyze the value-loading problem. This is the problem of encoding mo...
research
06/05/2023

Transformative AGI by 2043 is <1

This paper is a submission to the Open Philanthropy AI Worldviews Contes...
research
01/31/2017

CommAI: Evaluating the first steps towards a useful general AI

With machine learning successfully applied to new daunting problems almo...
research
04/27/2018

How does the AI understand what's going on

Most researchers regard AI as a static function without memory. This is ...
research
04/11/2022

Metaethical Perspectives on 'Benchmarking' AI Ethics

Benchmarks are seen as the cornerstone for measuring technical progress ...
research
03/08/2021

A Survey of Embodied AI: From Simulators to Research Tasks

There has been an emerging paradigm shift from the era of "internet AI" ...

Please sign up or login with your details

Forgot password? Click here to reset