Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research

Mrinalini Kochupillai

doi:10.1109/IGARSS47720.2021.9553727

Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research

Mrinalini Kochupillai^*

^*Huvudförfattare för detta arbete

Handelsrätt, Helsingfors

Technical University of Munich

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

5 Citeringar (Scopus)

Sammanfattning

Academic research and literature discussing ethical issues in Earth Observation (EO) or Remote Sensing (RS) research are scant. Yet, ethical concerns, particularly those linked to privacy [1], [2], explainability and bias [3], [4], are growing in relevance as AI and Machine Learning (ML) models are adopted to study and analyze petabytes of EO/RS data (hereinafter referred to as “AI4EO research”). AI/ML models have been used in EO and RS sciences for decades [5]. However, ethical issues take center stage as the resolution of EO/RS data increases rapidly, and as newer sources of data are fused with EO/RS data to achieve better results at lower costs and greater speeds.

Originalspråk	Engelska
Titel på värdpublikation	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Antal sidor	4
Förlag	Institute of Electrical and Electronics Engineers Inc.
Utgivningsdatum	2021
Sidor	1165-1168
ISBN (elektroniskt)	9781665403696
DOI	https://doi.org/10.1109/IGARSS47720.2021.9553727
Status	Publicerad - 2021
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgien Varaktighet: 12.07.2021 → 16.07.2021

Publikationsserier

Namn	Geoscience and Remote Sensing Symposium IGARSS
Förlag	IEEE
ISSN (elektroniskt)	2153-7003

Nyckelord

117,1 Geografi

Åtkomst av dokument

10.1109/IGARSS47720.2021.9553727

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title = "Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research",

abstract = "Academic research and literature discussing ethical issues in Earth Observation (EO) or Remote Sensing (RS) research are scant. Yet, ethical concerns, particularly those linked to privacy [1], [2], explainability and bias [3], [4], are growing in relevance as AI and Machine Learning (ML) models are adopted to study and analyze petabytes of EO/RS data (hereinafter referred to as “AI4EO research”). AI/ML models have been used in EO and RS sciences for decades [5]. However, ethical issues take center stage as the resolution of EO/RS data increases rapidly, and as newer sources of data are fused with EO/RS data to achieve better results at lower costs and greater speeds.",

keywords = "117,1 Geosciences, earth, ethics, data privacy, analytical models, costs, machine learning, data models",

author = "Mrinalini Kochupillai",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9553727",

language = "English",

series = "Geoscience and Remote Sensing Symposium IGARSS",

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

pages = "1165--1168",

booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS",

note = "2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

}

Kochupillai, M 2021, Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research. i 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Geoscience and Remote Sensing Symposium IGARSS, Institute of Electrical and Electronics Engineers Inc., s. 1165-1168, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien, 12.07.2021. https://doi.org/10.1109/IGARSS47720.2021.9553727

Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research. / Kochupillai, Mrinalini.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Institute of Electrical and Electronics Engineers Inc., 2021. s. 1165-1168 (Geoscience and Remote Sensing Symposium IGARSS).

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

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Outline of a Novel Approach for Identifying Ethical Issues in Early Stages of AI4EO Research

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