Artificial Intelligence and Human Rights: A Business Ethical Assessment

Kriebitz, Alexander; Lütge, Christoph

doi:10.1017/bhj.2019.28

Cited by 45 publications

(30 citation statements)

References 21 publications

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“…Like digital ethics, AI ethics is thus highly interdisciplinary and is rapidly evolving. 6 , 10 , 11…”

Section: Concepts and Termsmentioning

confidence: 99%

“…In other words, this is a desire to “do the right thing”. Ethical consciousness can be read as coming out of business ethics, 10 which is an applied ethics within the commercial environment. Sharing many of the themes from the previous section, it encompasses the integration of codes of conduct and compliance; however, it also expands to consider reputational issues, (corporate) social responsibility, and, most relevant to the development of ethical consciousness, concerns for institutional philosophy and culture.…”

Section: Three Approaches: Principles Processes and Ethical Consciousnessmentioning

confidence: 99%

“…Like digital ethics, AI ethics is thus highly interdisciplinary and is rapidly evolving. 6,10,11 Below we expand by exploring the key constitutive terms, namely ''digital'' and ''ethics. ''…”

Section: Digital and Ai Ethicsmentioning

confidence: 99%

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A high-level overview of AI ethics

Kazim

Koshiyama

2021

Patterns

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Summary Artificial intelligence (AI) ethics is a field that has emerged as a response to the growing concern regarding the impact of AI. It can be read as a nascent field and as a subset of the wider field of digital ethics, which addresses concerns raised by the development and deployment of new digital technologies, such as AI, big data analytics, and blockchain technologies. The principle aim of this article is to provide a high-level conceptual discussion of the field by way of introducing basic concepts and sketching approaches and central themes in AI ethics. The first part introduces concepts by noting what is being referred to by “AI” and “ethics”, etc.; the second part explores some predecessors to AI ethics, namely engineering ethics, philosophy of technology, and science and technology studies; the third part discusses three current approaches to AI ethics namely, principles, processes, and ethical consciousness; and finally, the fourth part discusses central themes in translating ethics in to engineering practice. We conclude by summarizing and noting the inherent interdisciplinary future directions and debates in AI ethics.

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“…Like digital ethics, AI ethics is thus highly interdisciplinary and is rapidly evolving. 6 , 10 , 11…”

Section: Concepts and Termsmentioning

confidence: 99%

Section: Three Approaches: Principles Processes and Ethical Consciousnessmentioning

confidence: 99%

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A high-level overview of AI ethics

Kazim

Koshiyama

2021

Patterns

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“…This bears major implications for public administration, which has to demonstrate that using AI constitutes an improvement to traditional ways of public governance and that it conforms with the constitutional rights of the citizens. Moreover, public administration has to contribute to the realization of normative goals such as enhanced public participation [33] or socio-economic improvement.…”

Section: Factoring Ai Ethics With Public Administrationmentioning

confidence: 99%

Factoring ethics in management algorithms for municipal information-analytical systems

et al. 2021

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The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics.

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“…It has been argued early on that in the design of computer technology we should pay attention to human values while designing systems as understood from an ethical standpoint [27,28]. An interesting survey is [29] which discusses the relationship between AI and human rights, sustainability and beneficence in general. A commonly overlooked issue with advanced machine learning methods is their energy consumption: model training and development likely make up a substantial portion of the greenhouse gas emissions because of excessively large models used, for example, in natural language processing [30].…”

Section: Related Research On Ai Issuesmentioning

confidence: 99%

Framework for Assessing Ethical Aspects of Algorithms and Their Encompassing Socio-Technical System

Bruxvoort

Keulen

2021

Applied Sciences

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In the transition to a data-driven society, organizations have introduced data-driven algorithms that often apply artificial intelligence. In this research, an ethical framework was developed to ensure robustness and completeness and to avoid and mitigate potential public uproar. We take a socio-technical perspective, i.e., view the algorithm embedded in an organization with infrastructure, rules, and procedures as one to-be-designed system. The framework consists of five ethical principles: beneficence, non-maleficence, autonomy, justice, and explicability. It can be used during the design for identification of relevant concerns. The framework has been validated by applying it to real-world fraud detection cases: Systeem Risico Indicatie (SyRI) of the Dutch government and the algorithm of the municipality of Amersfoort. The former is a controversial country-wide algorithm that was ultimately prohibited by court. The latter is an algorithm in development. In both cases, it proved effective in identifying all ethical risks. For SyRI, all concerns found in the media were also identified by the framework, mainly focused on transparency of the entire socio-technical system. For the municipality of Amersfoort, the framework highlighted risks regarding the amount of sensitive data and communication to and with the public, presenting a more thorough overview compared to the risks the media raised.

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Artificial Intelligence and Human Rights: A Business Ethical Assessment

Cited by 45 publications

References 21 publications

A high-level overview of AI ethics

A high-level overview of AI ethics

Factoring ethics in management algorithms for municipal information-analytical systems

Framework for Assessing Ethical Aspects of Algorithms and Their Encompassing Socio-Technical System

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