Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence

Ciro Greco, Andrea Polonioli, Jacopo Tagliabue

Abstract

The claims that big data holds the key to enterprise successes and that Artificial Intelligence (AI). is going to replace humanity have become increasingly more popular over the past few years, both in academia and in the industry. However, while these claims may indeed capture some truth, they have also been massively oversold, or so we contend here. The goal of this paper is two-fold. First, we provide a qualified defence of the value of less data within the context of AI. This is done by carefully reviewing two distinct problems for big data driven AI, namely a) the limited track record of Deep Learning (DL) in key areas such as Natural Language Processing (NLP), b) the regulatory and business significance of being able to learn from few data points. Second, we briefly sketch what we refer to as a case of “A.I. with humans and for humans”, namely an AI paradigm whereby the systems we build are privacy-oriented and focused on human-machine collaboration, not competition. Combining our claims above, we conclude that when seen through the lens of cognitively inspired A.I., the bright future of the discipline is about less data, not more, and more humans, not less.

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Paper Citation


in Harvard Style

Greco C., Polonioli A. and Tagliabue J. (2019). Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 340-347. DOI: 10.5220/0007956203400347


in Bibtex Style

@conference{data19,
author={Ciro Greco and Andrea Polonioli and Jacopo Tagliabue},
title={Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={340-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007956203400347},
isbn={978-989-758-377-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
SN - 978-989-758-377-3
AU - Greco C.
AU - Polonioli A.
AU - Tagliabue J.
PY - 2019
SP - 340
EP - 347
DO - 10.5220/0007956203400347