Trust in Technological Systems

Nickel, PJ Philip

doi:10.1007/978-94-007-5243-6_14

Cited by 26 publications

(31 citation statements)

References 22 publications

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“…Freiman & Miller (2019) offer a middle ground position, according to which instruments may be subject of "quasi-trust", which is distinguishable both from mere reliance, and from full-fledged normative trust. Nickel (2013) argues that trust regarding technologies means not only trusting the people who are behind the technologies, but also social institutions, as entities. According to his entitlement account of trust in technological artifacts and socio-technological systems, an trustor has evidences that indicates to her the trustworthiness of the humans behind the technologies and their interests in serving the interests of the users.…”

Section: Technological Instruments As Objects Of Trustmentioning

confidence: 99%

Trust and Distributed Epistemic Labor

Miller¹,

Freiman²

2020

The Routledge Handbook of Trust and Philosophy

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Section: Technological Instruments As Objects Of Trustmentioning

confidence: 99%

Trust and Distributed Epistemic Labor

Miller¹,

Freiman²

2020

The Routledge Handbook of Trust and Philosophy

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“…On this understanding, a trusting attitude is formed on the basis of beliefs and expectations about the potential actions of others. These beliefs and expectations can be of two types: (1) predictive beliefs about how others will act; and (2) normative beliefs about how others should act (Nickel 2013).…”

Section: Framing Trust As Shared Values and Interests Between Designementioning

confidence: 99%

“…While there has been a growing interest in the nexus between trust and technology (Nickel, Franssen & Kroes 2010;Åm 2011;Nickel 2011Nickel , 2013Nickel , 2015Nickel & Spahn 2012;Hu et al 2016;Voerman & Nickel 2017; McCall & Baillie 2017; Allen 2018) surprisingly little explicit attention has been given to what we call the socialinstitutional character of trust. Trust is generally essential for ordering and normalising social relations within society (Barnes 1988;Luhmann 1979).…”

Section: Introductionmentioning

confidence: 99%

Building trust in persuasive gerontechnology: User-centric and institution-centric approaches

Sattarov¹,

Nagel²

2019

Gerontechnology

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Trust in technology is an important factor for the design and use of technology in general. While there is growing interest in the role of trust on this general level, so far little attention has been given to the particularities of trust in persuasive technologies, i.e. technologies that serve to persuade users into certain behaviours. Those technologies are increasingly targeting the older adults, posing ethical questions that ask for sensitive investigation of trust. Here, we explore the specific character of trust in persuasive gerontechnology. We argue that the question of how to establish trust in technology, how to make trust lasting and enduring, requires considering user-centric and institution-centric approaches, and suggest an approach that is sensitive to wider social and institutional factors. The impact that persuasive gerontechnology can have depends on whether people can trust them, the designers, or the overall system. Drawing on studies of determinants of institutional trust, we identify four main strategies that can inform designers, technology assessors and policy makers in building trust between technology and users: (1) creating novel institutions, (2) creating incentives, (3) providing guarantees, and (4) ensuring transparency. We conclude the discussion with suggestions regarding future directions in researching trust and persuasive technology.

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“…If the agent-computer relationship is appropriately groomed, people can trust computers very much in the way that they can trust each other (Muir 1987, Nickel 2013. Agent-computer trust can be especially high when it comes to automation, sometimes even to the detriment of human agents, who may end up trusting an automated system when not appropriate (Parasuraman, Molloy et al 1993).…”

Section: Artificial Intelligence As a Means To Moral Enhancement Artimentioning

confidence: 99%

Artificial Intelligence as a Means to Moral Enhancement

Klincewicz

2016

Studies in Logic, Grammar and Rhetoric

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Abstract. This paper critically assesses the possibility of moral enhancement with ambient intelligence technologies and artificial intelligence presented in Savulescu and Maslen (2015). The main problem with their proposal is that it is not robust enough to play a normative role in users' behavior. A more promising approach, and the one presented in the paper, relies on an artificial moral reasoning engine, which is designed to present its users with moral arguments grounded in first-order normative theories, such as Kantianism or utilitarianism, that reason-responsive people can be persuaded by. This proposal can play a normative role and it is also a more promising avenue towards moral enhancement. It is more promising because such a system can be designed to take advantage of the sometimes undue trust that people put in automated technologies. We could therefore expect a well-designed moral reasoner system to be able to persuade people that may not be persuaded by similar arguments from other people. So, all things considered, there is hope in artificial intelligence for moral enhancement, but not in artificial intelligence that relies solely on ambient intelligence technologies.

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Trust in Technological Systems

Abstract: To appear in M.J. de Vries, S.O. Hansson, and A.W.M. Meijers, eds., Norms and the artificial: moral and non-moral norms in technology (Springer).

Cited by 26 publications

References 22 publications

Trust and Distributed Epistemic Labor

Trust and Distributed Epistemic Labor

Building trust in persuasive gerontechnology: User-centric and institution-centric approaches

Artificial Intelligence as a Means to Moral Enhancement

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