Universität zu Köln

Christoforaki, Maria ORCID: 0000-0002-7047-1057 and Beyan, Oya (2022). AI Ethics-A Bird's Eye View. Appl. Sci.-Basel, 12 (9). BASEL: MDPI. ISSN 2076-3417

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Abstract

The explosion of data-driven applications using Artificial Intelligence (AI) in recent years has given rise to a variety of ethical issues regarding data collection, annotation, and processing using mostly opaque algorithms, as well as the interpretation and employment of the results of the AI pipeline. The ubiquity of AI applications negatively impacts a variety of sensitive areas, ranging from discrimination against vulnerable populations to privacy invasion and the environmental cost that these algorithms entail, and puts into focus on the ever present domain of AI ethics. In this review article we present a bird's eye view approach of the AI ethics landscape, starting from a historical point of view, examining the moral issues that were introduced by big datasets and the application of non-symbolic AI algorithms, the normative approaches (principles and guidelines) to these issues and the ensuing criticism, as well as the actualization of these principles within the proposed frameworks. Subsequently, we focus on the concept of responsibility, both as personal responsibility of the AI practitioners and sustainability, meaning the promotion of beneficence for both the society and the domain, and the role of professional certification and education in averting unethical choices. Finally, we conclude with indicating the multidisciplinary nature of AI ethics and suggesting future challenges.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Christoforaki, Maria UNSPECIFIED orcid.org/0000-0002-7047-1057 UNSPECIFIED Beyan, Oya UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-660184
DOI:	10.3390/app12094130
Journal or Publication Title:	Appl. Sci.-Basel
Volume:	12
Number:	9
Date:	2022
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2076-3417
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language BIG DATA; DECISION-MAKING; ARTIFICIAL-INTELLIGENCE; PRINCIPLES; PRIVACY Multiple languages Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66018