Virtue as a framework for the design and use of artificial intelligence

Neubert, Mitchell J.; Montanez, George D.

doi:10.1016/j.bushor.2019.11.001

Cited by 38 publications

(25 citation statements)

References 27 publications

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“…Third was production with eight articles and 248 citations, and finance was fourth with seven articles and 135 citations. Here, the supply chain (Garay-Rondero et al, 2020 ), technology design and development (Neubert and Montañez, 2020 ; North-Samardzic, 2020 ; Ryan and Stahl, 2021 ), auditing (Munoko et al, 2020 ), accounting (Losbichler and Lehner, 2021 ), and taxes (Berger et al, 2020 ; LaMothe and Bobek, 2020 ), among other issues, are addressed.…”

Section: Discussion and Findingsmentioning

confidence: 99%

“…Therefore, humans should be held accountable for AI's negative impacts or harms. Some authors propose principles, guidelines, and frameworks to avoid risks and mitigate possible damages (Cole and Banerjee, 2013;Yampolskiy and Fox, 2013;Clarke, 2019;Kriebitz and Lütge, 2020;Neubert and Montañez, 2020;Ferrell and Ferrell, 2021). Others explore specific problems and propose solutions, like Fischer et al (2021), who suggests using this technology to combat climate change.…”

Section: Referencesmentioning

confidence: 99%

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A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

Daza

Ilozumba

2022

Front. Psychol.

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Artificial intelligence is spreading rapidly in business products and processes, with innovations that bring great benefits to society; however, significant risks also arise. AI-enabled systems make decisions autonomously and influence users and the environment, presenting multiple ethical issues. This work focuses on the ethics of AI use in business. We conduct a survey of business journal articles published between 2000 and mid-2021 to identify the most influential journals, articles, and authors, the most influential ethical schools, and the main ethical issues of AI in business. It describes the state-of-the-art in the field and identifies trends in ethical issues arising from AI. Thus, we present maps and trends of the ethics in AI in business literature.

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Section: Discussion and Findingsmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

Daza

Ilozumba

2022

Front. Psychol.

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“…For example, a manager's past decisions may lead to anchoring bias (Edwards and Rodriguez 2019 ). Especially when developers design artificial intelligence tools by observing present high-performing employees for identifying core competencies and personalities of potential candidates (Neubert and Montañez 2020 ). If some biases like gender, education, race, and age existed in the past and they are present in the high performers that the company currently uses as benchmarks, the algorithm would learn these conventions and perpetuate the biases (Lee and Shin 2020 ).…”

Section: Implications For Managementmentioning

confidence: 99%

Collaboration among recruiters and artificial intelligence: removing human prejudices in employment

Chen

2022

Cogn Tech Work

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In the global war for talent, traditional recruiting methods are failing to cope with the talent competition, so employers need the right recruiting tools to fill open positions. First, we explore how talent acquisition has transitioned from digital 1.0 to 3.0 (AI-enabled) as the digital tool redesigns business. The technology of artificial intelligence has facilitated the daily work of recruiters and improved recruitment efficiency. Further, the study analyzes that AI plays an important role in each stage of recruitment, such as recruitment promotion, job search, application, screening, assessment, and coordination. Next, after interviewing with AI recruitment stakeholders (recruiters, managers, and applicants), the study discusses their acceptance criteria for each recruitment stage; stakeholders also raised concerns about AI recruitment. Finally, we suggest that managers need to be concerned about the cost of AI recruitment, legal privacy, recruitment bias, and the possibility of replacing recruiters. Overall, the study answers the following questions: (1) How artificial intelligence is used in various stages of the recruitment process. (2) Stakeholder (applicants, recruiters, managers) perceptions of AI application in recruitment. (3) Suggestions for managers to adopt AI in recruitment. In general, the discussion will contribute to the study of the use of AI in recruitment, as well as providing recommendations for implementing AI recruitment in practice.

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“…In the more specific context of AI applications, however, one has to sort out those virtues that are particularly important in the field of AI ethics. Here, existing literature and preliminary works are spare (Constantinescu et al, 2021;Neubert & Montañez, 2020).…”

Section: Basic Ai Virtues-the Foundation For Ethical Decision Makingmentioning

confidence: 99%

A Virtue-Based Framework to Support Putting AI Ethics into Practice

Hagendorff

2022

Philos. Technol.

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Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific motivational settings that constitute the very precondition for ethical decision making in the AI field. Moreover, it defines two “second-order AI virtues”, prudence and fortitude, that bolster achieving the basic virtues by helping with overcoming bounded ethicality or hidden psychological forces that can impair ethical decision making and that are hitherto disregarded in AI ethics. Lastly, the paper describes measures for successfully cultivating the mentioned virtues in organizations dealing with AI research and development.

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Virtue as a framework for the design and use of artificial intelligence

Cited by 38 publications

References 27 publications

A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

Collaboration among recruiters and artificial intelligence: removing human prejudices in employment

A Virtue-Based Framework to Support Putting AI Ethics into Practice

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