Artificial Intelligence in Fostering Sustainable Development

Title

Artificial Intelligence in Fostering Sustainable Development

Creator

Martha Sucharitha M.; Basha M.S.A.; Biswas P.; Krishnan D.R.

Description

Sustainable development is vital to mankind. The world is finding a growing effort of Artificial Intelligence (AI) towards sustainability, and we made an attempt to address the development in sustainability using AI systems. Sustainable development has three pillars of sustainability (i.e. social, economic, environment), and as such, the pillars of sustainable AI. The entire Life cycle of AI products can foster change in the movement of sustainability from which greater integrity and social justice can be achieved. Sustainable AI helps us to address the whole socio-technical system more than AI applications. This paper tried to address the positive impacts of AI on sustainable indicators in terms of Environmental, Societal and Economy factors. This paper is prepared to make readers, policymakers, AI ethicists and AI developers to inspire and connect with the environment for the current and future generations as there are few AI costs to be made compatible with the environment. 2023 American Institute of Physics Inc.. All rights reserved.

Source

AIP Conference Proceedings, Vol-2821, No. 1

Date

2023-01-01

Publisher

American Institute of Physics Inc.

Subject

Artificial Intelligence; Economy; Environmental; Indicators; Societal; Sustainability

Coverage

Martha Sucharitha M., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India; Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to be University), Karnataka, Bengaluru, 561203, India; Biswas P., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India; Krishnan D.R., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India

Rights

Restricted Access

Relation

ISSN: 0094243X; ISBN: 978-073544735-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1063/5.0158568

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179820171&doi=10.1063%2f5.0158568&partnerID=40&md5=24729a66b9d4c4166491c8a76816de16