An Introduction to Ethics in Robotics and AI

Bartneck, Christoph; Lütge, Christoph; Wagner, Alan R.; Welsh, Sean

doi:10.1007/978-3-030-51110-4

Cited by 65 publications

(25 citation statements)

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“…1. Increased Public Health and Mobility: AVs can improve society's health by avoiding fatalities that are due to human error (Bartneck et al, 2019). This is in line with Vision Zero, which states that eventually no one will and shall be killed or seriously injured within the road transport system (Ministry of Transport and Communications, 1997).…”

Section: Societal and Environmental Wellbeing -Including Sustainability And Environmental Friendliness And Social Impactmentioning

confidence: 85%

AI4People

Lütge

Poszler

Acosta

et al. 2021

International Journal of Technoethics

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This paper presents the work of the AI4People-Automotive Committee established to advise more concretely on specific ethical issues that arise from autonomous vehicles (AVs). Practical recommendations for the automotive sector are provided across the topic areas: human agency and oversight, technical robustness and safety, privacy and data governance, transparency, diversity, non-discrimination and fairness, societal and environmental wellbeing, as well as accountability. By doing so, this paper distinguishes between policy recommendations that aim to assist policymakers in setting acceptable standards and industry recommendations that formulate guidelines for companies across their value chain. In the future, the automotive sector may rely on these recommendations to determine relevant next steps and to ensure that AVs comply with ethical principles.

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Section: Societal and Environmental Wellbeing -Including Sustainability And Environmental Friendliness And Social Impactmentioning

confidence: 85%

AI4People

Lütge

Poszler

Acosta

et al. 2021

International Journal of Technoethics

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“…Our panel agreed that 'Digital Twins should be seen as augmenting human beings, with humans/patients ultimately determining which decisions are made within the process. The autonomy and agency of patients in using a Digital Twin is an important aspect in the implementation of Digital Twins in healthcare (Bartneck, 2020). This implies that there should always be a human in the loop.…”

Section: Discussionmentioning

confidence: 99%

Future outlook on the materialisation, expectations and implementation of Digital Twins in healthcare

Maeyer¹,

Markopoulos²

2021

Electronic Workshops in Computing

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“…Business ethics deals with the question of the possibility of ethical behaviour in a market economy which is driven by the principle of competition [92]. Despite early contributions on AI from a business ethics perspective [93] and the fact that the impact of AI on business ethics has been recognised [94,95] and conceptualised by several authors [69,88,96,97], business ethics approaches are hardly found in the current AI ethics debate [69,98], but in no case from a contractualist perspective.…”

Section: Order Ethics As Business Ethics Approach To Aimentioning

confidence: 99%

Community-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics

Häußermann

Lütge

2021

AI Ethics

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Today, due to growing computing power and the increasing availability of high-quality datasets, artificial intelligence (AI) technologies are entering many areas of our everyday life. Thereby, however, significant ethical concerns arise, including issues of fairness, privacy and human autonomy. By aggregating current concerns and criticisms, we identify five crucial shortcomings of the current debate on the ethics of AI. On the threshold of a third wave of AI ethics, we find that the field eventually fails to take sufficient account of the business context and deep societal value conflicts the use of AI systems may evoke. For even a perfectly fair AI system, regardless of its feasibility, may be ethically problematic, a too narrow focus on the ethical implications of technical systems alone seems insufficient. Therefore, we introduce a business ethics perspective based on the normative theory of contractualism and conceptualise ethical implications as conflicts between values of diverse stakeholders. We argue that such value conflicts can be resolved by an account of deliberative order ethics holding that stakeholders of an economic community deliberate the costs and benefits and agree on rules for acceptable trade-offs when AI systems are employed. This allows AI ethics to consider business practices, to recognise the role of firms, and ethical AI not being at risk to provide a competitive disadvantage or in conflict with the current functioning of economic markets. By introducing deliberative order ethics, we thus seek to do justice to the fundamental normative and political dimensions at the core of AI ethics.

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An Introduction to Ethics in Robotics and AI

Cited by 65 publications

References 0 publications

AI4People

AI4People

Future outlook on the materialisation, expectations and implementation of Digital Twins in healthcare

Community-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics

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