Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements

Ronny Bogani; Andreas Theodorou; Luca Arnaboldi; Robert H. Wortham

doi:10.1007/s43681-022-00221-0

Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements

Ronny Bogani, Andreas Theodorou, Luca Arnaboldi, Robert H. Wortham

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.

Original language	English
Pages (from-to)	1135-1142
Number of pages	8
Journal	AI and Ethics
Volume	3
Issue number	4
Early online date	20 Oct 2022
DOIs	https://doi.org/10.1007/s43681-022-00221-0
Publication status	Published - 1 Nov 2023

Keywords / Materials (for Non-textual outputs)

AI
Ethics
Sustainability
Data lifecycle
Impact statements

Access to Document

10.1007/s43681-022-00221-0Licence: Creative Commons: Attribution (CC-BY)

Garbage in_BOGANI_DOA07092022_VOR_CC-BYFinal published version, 690 KBLicence: Creative Commons: Attribution (CC-BY)

https://link.springer.com/article/10.1007/s43681-022-00221-0Licence: Creative Commons: Attribution (CC-BY)

AISEC: AI Secure and Explainable by Construction
Aspinall, D. & Schafer, B.
EPSRC
1/09/20 → 31/08/23
Project: Research

Cite this

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title = "Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements",

abstract = "Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.",

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KW - Ethics

KW - Sustainability

KW - Data lifecycle

KW - Impact statements

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Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

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AISEC: AI Secure and Explainable by Construction

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