Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?

Philipe Dias; Dalton Lunga

doi:10.1109/IGARSS46834.2022.9883030

Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?

Philipe Dias, Dalton Lunga

GeoAI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

As in many other research domains, Artificial Intelligence (AI) techniques have been increasing their footprint in Earth Sciences to extract meaningful information from the large amount of high-detailed data available from multiple sensor modalities. While on the one hand the existing success cases endorse the great potential of AI to help address open challenges in ES, on the other hand on-going discussions and established lessons from studies on the sustainability, ethics and trustworthiness of AI must be taken into consideration if the community is to ensure that its research efforts move into directions that effectively benefit the society and the environment. In this paper, we discuss insights gathered from a brief literature review on the subtopics of AI Ethics, Sustainable AI, AI Trustworthiness and AI for Earth Sciences in an attempt to identify some of the promising directions and key needs to successfully bring these concepts together.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4639-4642
Number of pages	4
ISBN (Electronic)	9781665427920
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883030
State	Published - 2022
Event	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: Jul 17 2022 → Jul 22 2022

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	07/17/22 → 07/22/22

Funding

We thank Vandy Tombs for her valuable comments during the preparation of this manuscript. We acknowledge that this manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

AI ethics
AI trustworthiness
Artificial Intelligence
Earth Sciences
Sustainable AI

Access to Document

10.1109/IGARSS46834.2022.9883030

Cite this

Dias, P., & Lunga, D. (2022). Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 4639-4642). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883030

@inproceedings{079fe089dd6b49809c2c3382ba8513be,

title = "Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?",

abstract = "As in many other research domains, Artificial Intelligence (AI) techniques have been increasing their footprint in Earth Sciences to extract meaningful information from the large amount of high-detailed data available from multiple sensor modalities. While on the one hand the existing success cases endorse the great potential of AI to help address open challenges in ES, on the other hand on-going discussions and established lessons from studies on the sustainability, ethics and trustworthiness of AI must be taken into consideration if the community is to ensure that its research efforts move into directions that effectively benefit the society and the environment. In this paper, we discuss insights gathered from a brief literature review on the subtopics of AI Ethics, Sustainable AI, AI Trustworthiness and AI for Earth Sciences in an attempt to identify some of the promising directions and key needs to successfully bring these concepts together.",

keywords = "AI ethics, AI trustworthiness, Artificial Intelligence, Earth Sciences, Sustainable AI",

author = "Philipe Dias and Dalton Lunga",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883030",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4639--4642",

booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

}

Dias, P & Lunga, D 2022, Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 4639-4642, 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 07/17/22. https://doi.org/10.1109/IGARSS46834.2022.9883030

Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? / Dias, Philipe ; Lunga, Dalton.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2022. p. 4639-4642 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022

AU - Dias, Philipe

AU - Lunga, Dalton

PY - 2022

Y1 - 2022

N2 - As in many other research domains, Artificial Intelligence (AI) techniques have been increasing their footprint in Earth Sciences to extract meaningful information from the large amount of high-detailed data available from multiple sensor modalities. While on the one hand the existing success cases endorse the great potential of AI to help address open challenges in ES, on the other hand on-going discussions and established lessons from studies on the sustainability, ethics and trustworthiness of AI must be taken into consideration if the community is to ensure that its research efforts move into directions that effectively benefit the society and the environment. In this paper, we discuss insights gathered from a brief literature review on the subtopics of AI Ethics, Sustainable AI, AI Trustworthiness and AI for Earth Sciences in an attempt to identify some of the promising directions and key needs to successfully bring these concepts together.

AB - As in many other research domains, Artificial Intelligence (AI) techniques have been increasing their footprint in Earth Sciences to extract meaningful information from the large amount of high-detailed data available from multiple sensor modalities. While on the one hand the existing success cases endorse the great potential of AI to help address open challenges in ES, on the other hand on-going discussions and established lessons from studies on the sustainability, ethics and trustworthiness of AI must be taken into consideration if the community is to ensure that its research efforts move into directions that effectively benefit the society and the environment. In this paper, we discuss insights gathered from a brief literature review on the subtopics of AI Ethics, Sustainable AI, AI Trustworthiness and AI for Earth Sciences in an attempt to identify some of the promising directions and key needs to successfully bring these concepts together.

KW - AI ethics

KW - AI trustworthiness

KW - Artificial Intelligence

KW - Earth Sciences

KW - Sustainable AI

UR - http://www.scopus.com/inward/record.url?scp=85140408245&partnerID=8YFLogxK

U2 - 10.1109/IGARSS46834.2022.9883030

DO - 10.1109/IGARSS46834.2022.9883030

M3 - Conference contribution

AN - SCOPUS:85140408245

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4639

EP - 4642

BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 July 2022 through 22 July 2022

ER -

Dias P , Lunga D. Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2022. p. 4639-4642. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS46834.2022.9883030

Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this