Advancing Sustainable Development Goals Based on Multimodal Generative AI

Monica Uttarwar; Girija Chetty; Matthew White

doi:10.1109/ISCMI67495.2025.11358575

Advancing Sustainable Development Goals Based on Multimodal Generative AI

Monica Uttarwar
, Girija Chetty
, Matthew White

Software Engineering

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

Abstract

The United Nations' Sustainable Development Goals (SDGs) lay out an ambitious blueprint for a more equitable, sustainable, and prosperous world. In recent years, artificial intelligence (AI) has emerged as a powerful tool in the pursuit of these goals. This paper presents the details of a novel computational framework based on multimodal generative AI models for making available assistive technologies for advancing several SDG goals.

Original language	English
Title of host publication	2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025)
Editors	Rudolf Kruse, Anderson Rocha, Suash Deb, Oscar Cantillo, Girija Chetty, Sahil Nakhwal, A. Amalin Prince, Sana Taheri, Jack Chun-Ho Wu
Place of Publication	Brazil
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	566-573
Number of pages	8
Edition	1
ISBN (Electronic)	9798331586911
DOIs	https://doi.org/10.1109/ISCMI67495.2025.11358575
Publication status	Published - 2025
Event	12th International Conference on Soft Computing and Machine Intelligence, ISCMI 2025 - Rio de Janeiro, Brazil Duration: 21 Nov 2025 → 23 Nov 2025

Publication series

Name	Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI
ISSN (Print)	2640-0154

Conference

Conference	12th International Conference on Soft Computing and Machine Intelligence, ISCMI 2025
Country/Territory	Brazil
City	Rio de Janeiro
Period	21/11/25 → 23/11/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/ISCMI67495.2025.11358575

Cite this

Uttarwar, M., Chetty, G., & White, M. (2025). Advancing Sustainable Development Goals Based on Multimodal Generative AI. In R. Kruse, A. Rocha, S. Deb, O. Cantillo, G. Chetty, S. Nakhwal, A. A. Prince, S. Taheri, & J. Chun-Ho Wu (Eds.), 2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025) (1 ed., pp. 566-573). (Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISCMI67495.2025.11358575

Uttarwar, Monica ; Chetty, Girija ; White, Matthew. / Advancing Sustainable Development Goals Based on Multimodal Generative AI. 2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025) . editor / Rudolf Kruse ; Anderson Rocha ; Suash Deb ; Oscar Cantillo ; Girija Chetty ; Sahil Nakhwal ; A. Amalin Prince ; Sana Taheri ; Jack Chun-Ho Wu. 1. ed. Brazil : IEEE, Institute of Electrical and Electronics Engineers, 2025. pp. 566-573 (Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI).

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title = "Advancing Sustainable Development Goals Based on Multimodal Generative AI",

abstract = "The United Nations' Sustainable Development Goals (SDGs) lay out an ambitious blueprint for a more equitable, sustainable, and prosperous world. In recent years, artificial intelligence (AI) has emerged as a powerful tool in the pursuit of these goals. This paper presents the details of a novel computational framework based on multimodal generative AI models for making available assistive technologies for advancing several SDG goals.",

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year = "2025",

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language = "English",

series = "Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI",

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Uttarwar, M, Chetty, G & White, M 2025, Advancing Sustainable Development Goals Based on Multimodal Generative AI. in R Kruse, A Rocha, S Deb, O Cantillo, G Chetty, S Nakhwal, AA Prince, S Taheri & J Chun-Ho Wu (eds), 2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025) . 1 edn, Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI, IEEE, Institute of Electrical and Electronics Engineers, Brazil, pp. 566-573, 12th International Conference on Soft Computing and Machine Intelligence, ISCMI 2025, Rio de Janeiro, Brazil, 21/11/25. https://doi.org/10.1109/ISCMI67495.2025.11358575

Advancing Sustainable Development Goals Based on Multimodal Generative AI. / Uttarwar, Monica; Chetty, Girija; White, Matthew.
2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025) . ed. / Rudolf Kruse; Anderson Rocha; Suash Deb; Oscar Cantillo; Girija Chetty; Sahil Nakhwal; A. Amalin Prince; Sana Taheri; Jack Chun-Ho Wu. 1. ed. Brazil: IEEE, Institute of Electrical and Electronics Engineers, 2025. p. 566-573 (Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AB - The United Nations' Sustainable Development Goals (SDGs) lay out an ambitious blueprint for a more equitable, sustainable, and prosperous world. In recent years, artificial intelligence (AI) has emerged as a powerful tool in the pursuit of these goals. This paper presents the details of a novel computational framework based on multimodal generative AI models for making available assistive technologies for advancing several SDG goals.

KW - Generative AI

KW - image

KW - joint representations

KW - multimodal

KW - SDG

KW - text

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UR - https://ieeexplore.ieee.org/xpl/conhome/11357864/proceeding

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PB - IEEE, Institute of Electrical and Electronics Engineers

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ER -

Uttarwar M, Chetty G, White M. Advancing Sustainable Development Goals Based on Multimodal Generative AI. In Kruse R, Rocha A, Deb S, Cantillo O, Chetty G, Nakhwal S, Prince AA, Taheri S, Chun-Ho Wu J, editors, 2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI 2025) . 1 ed. Brazil: IEEE, Institute of Electrical and Electronics Engineers. 2025. p. 566-573. (Proceedings of the International Conference on Soft Computing and Machine Intelligence, ISCMI). doi: 10.1109/ISCMI67495.2025.11358575

Advancing Sustainable Development Goals Based on Multimodal Generative AI

Abstract

Publication series

Conference

UN SDGs

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