The Importance of Ethics in Modern Universities of Technology

Taebi, Behnam; Hoven, Jeroen van den; Bird, Stephanie J.

doi:10.1007/s11948-019-00164-6

Cited by 20 publications

(17 citation statements)

References 14 publications

(10 reference statements)

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“…Opportunity factors can work in terms of rewards and penalties for any personal line of business or even an organisation based on corporate or national policies. The interviewees agreed that this is a big question and requires research to enable corporates and social ecosystems (Taebi et al , 2019). However, practically, it is challenging to achieve using machines.…”

Section: Discussionmentioning

confidence: 99%

AI led ethical digital transformation: framework, research and managerial implications

Kumar

Arora

Rani

et al. 2021

JICES

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Purpose Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”. Design/methodology/approach Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software. Findings The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars. Originality/value The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.

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Section: Discussionmentioning

confidence: 99%

AI led ethical digital transformation: framework, research and managerial implications

Kumar

Arora

Rani

et al. 2021

JICES

View full text Add to dashboard Cite

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“…Besides the need for increased attention to AI technology skills, several groups recognize the need for introducing ethics into STEM education (Villani, 2018, Taebi et al, 2019. This is aligned with the overall view that ensuring students are prepared for the changing labour market will be the main challenge for education curricula.…”

Section: Guidelines and Regulatory Framework For Aimentioning

confidence: 99%

The role and challenges of education for responsible AI

Dignum

2021

London Review of Education

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Artificial intelligence (AI) is impacting education in many different ways. From virtual assistants for personalized education, to student or teacher tracking systems, the potential benefits of AI for education often come with a discussion of its impact on privacy and well-being. At the same time, the social transformation brought about by AI requires reform of traditional education systems. This article discusses what a responsible, trustworthy vision for AI is and how this relates to and affects education.

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“…This, in turn, calls for specialized ethical training, including development of complex university curricula, connecting humanities and social sciences with the development of a moral character. In addition to technical education, Responsible AI emphasizes the need for transdisciplinary education that integrates arts and humanities (Dignum, 2021), with a particular focus on ethics (Taebi et al, 2019): "In a world where machines can find (all) answers, it becomes imperative that all people are well trained in asking questions and evaluating answers" (Dignum, 2021, pp. 1-2).…”

Section: Virtue Responsibility and Ethics For Designersmentioning

confidence: 99%

Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context

et al. 2021

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During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for the concept of moral responsibility. The paper starts by highlighting the important difficulties in assigning responsibility to either technologies themselves or to their developers. Top-down and bottom-up approaches to moral responsibility are then contrasted, as we explore how they could inform debates about Responsible AI. We highlight the limits of the former ethical approaches and build the case for classical Aristotelian virtue ethics. We show that two building blocks of Aristotle’s ethics, dianoetic virtues and the context of actions, although largely ignored in the literature, can shed light on how we could think of moral responsibility for both AI and humans. We end by exploring the practical implications of this particular understanding of moral responsibility along the triadic dimensions of ethics by design, ethics in design and ethics for designers.

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The Importance of Ethics in Modern Universities of Technology

Cited by 20 publications

References 14 publications

AI led ethical digital transformation: framework, research and managerial implications

AI led ethical digital transformation: framework, research and managerial implications

The role and challenges of education for responsible AI

Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context

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