The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI

Paulo Pirozelli, João F. N. Cortese
Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:69-74, 2022.

Abstract

“Beauty” is a highly disputed word in philosophy and art. It also appears frequently in scientific debates. But what is the role of beauty in science, and how can it be useful to AI? In this paper, we argue that scientific progress depends on the diversity of the judgment of scientists, something that is only possible because multiple aspects are involved in the evaluation of theories. Particularly important within these criteria are those related to aesthetic considerations, such as simplicity, consistency, broadness, and fertility. We claim that AI should be less focused on accuracy and related metrics, and instead should aim at integrating epistemic measures related to these aesthetic concepts.

Cite this Paper

BibTeX
@InProceedings{pmlr-v163-pirozelli22a, title = {The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of {AI}}, author = {Pirozelli, Paulo and Cortese, Jo\~{a}o F. N.}, booktitle = {Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops}, pages = {69--74}, year = {2022}, editor = {Pradier, Melanie F. and Schein, Aaron and Hyland, Stephanie and Ruiz, Francisco J. R. and Forde, Jessica Z.}, volume = {163}, series = {Proceedings of Machine Learning Research}, month = {13 Dec}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v163/pirozelli22a/pirozelli22a.pdf}, url = {https://proceedings.mlr.press/v163/pirozelli22a.html}, abstract = {“Beauty” is a highly disputed word in philosophy and art. It also appears frequently in scientific debates. But what is the role of beauty in science, and how can it be useful to AI? In this paper, we argue that scientific progress depends on the diversity of the judgment of scientists, something that is only possible because multiple aspects are involved in the evaluation of theories. Particularly important within these criteria are those related to aesthetic considerations, such as simplicity, consistency, broadness, and fertility. We claim that AI should be less focused on accuracy and related metrics, and instead should aim at integrating epistemic measures related to these aesthetic concepts.} }
Endnote
%0 Conference Paper %T The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI %A Paulo Pirozelli %A João F. N. Cortese %B Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops %C Proceedings of Machine Learning Research %D 2022 %E Melanie F. Pradier %E Aaron Schein %E Stephanie Hyland %E Francisco J. R. Ruiz %E Jessica Z. Forde %F pmlr-v163-pirozelli22a %I PMLR %P 69--74 %U https://proceedings.mlr.press/v163/pirozelli22a.html %V 163 %X “Beauty” is a highly disputed word in philosophy and art. It also appears frequently in scientific debates. But what is the role of beauty in science, and how can it be useful to AI? In this paper, we argue that scientific progress depends on the diversity of the judgment of scientists, something that is only possible because multiple aspects are involved in the evaluation of theories. Particularly important within these criteria are those related to aesthetic considerations, such as simplicity, consistency, broadness, and fertility. We claim that AI should be less focused on accuracy and related metrics, and instead should aim at integrating epistemic measures related to these aesthetic concepts.
APA
Pirozelli, P. & Cortese, J.F.N.. (2022). The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI. Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, in Proceedings of Machine Learning Research 163:69-74 Available from https://proceedings.mlr.press/v163/pirozelli22a.html.

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