Innateness, AlphaZero, and Artificial Intelligence

by   Gary Marcus, et al.

The concept of innateness is rarely discussed in the context of artificial intelligence. When it is discussed, or hinted at, it is often the context of trying to reduce the amount of innate machinery in a given system. In this paper, I consider as a test case a recent series of papers by Silver et al (Silver et al., 2017a) on AlphaGo and its successors that have been presented as an argument that a "even in the most challenging of domains: it is possible to train to superhuman level, without human examples or guidance", "starting tabula rasa." I argue that these claims are overstated, for multiple reasons. I close by arguing that artificial intelligence needs greater attention to innateness, and I point to some proposals about what that innateness might look like.



page 1

page 2

page 3

page 4


What can the brain teach us about building artificial intelligence?

This paper is the preprint of an invited commentary on Lake et al's Beha...

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012)

This is the Proceedings of the Twenty-Eighth Conference on Uncertainty i...

The importance of transparency and reproducibility in artificial intelligence research

In their study, McKinney et al. showed the high potential of artificial ...

Implications of Quantum Computing for Artificial Intelligence alignment research

We introduce a heuristic model of Quantum Computing and apply it to argu...

Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning

Autonomous lifelong development and learning is a fundamental capability...

Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument

In recent years prominent intellectuals have raised ethical concerns abo...

Influential Papers in Artificial Intelligence and Paediatrics: Assessing RPYS by Experts Review

The use of artificial intelligence in paediatrics has vastly increased i...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.