Ex-post Approaches to Privacy: Trust Norms to Realize the Social Dimension of Privacy

Haleh Asgarinia

    Research output: Contribution to conferenceAbstractAcademic

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    Abstract

    Privacy is a social value because it cannot be constituted individually but rather depends on relationships that involve many, and it is not individually valuable, even though it is enjoyed by individuals, because its value derives from interaction with those who share interests in caring for what one cares about. It follows that what matters is not who has access to personal information or if a person is capable of exercising control over their personal data, but rather who cares about shared data, how to care about it, and to whom a person cares to reveal their personal data. Given that trust includes care and, trust is the constituent of the social value of privacy, this paper will address this question: “what are trust norms to be trustworthy?” This paper aims to identify trust norms in the context in which personal data are shared, processed by an Artificial Intelligence (AI) system, and information is inferred from the shared data. I consider the following argument to identify norms to be trustworthy in response to the other’s trusting reliance. The first premise is that a person who is motivated to act does not make trust appropriate. Second, it is argued that the condition that gives rise to trustworthiness resides in the stance the trustor takes toward the trustee. Third, it is argued that norms for the trustee to be trustworthy derive from norms on promise-making. And finally, it is argued that trusting others’ words involves relying upon them to fulfil promise-making norms. I conclude that a person who is responsible for answering a question while using an AI system would be trustworthy only if first, s/he intends to say the correct answer; second, s/he is competent to answer the question; third, s/he, in fact, asserts the right answer, and finally, the AI system is accurate or epistemically reliable. In this regard, promoting trust norms of sincerity and competence by the trustee and developing an accurate AI system by designers both contribute to constructing privacy and realizing its social value.
    Original languageEnglish
    Publication statusPublished - 10 May 2023
    EventInternational Conference on Computer Ethics, CEPE 2023: Philosophical Enquiry - Illinois Institute of Technology, Chicago, United States
    Duration: 16 May 202318 May 2023
    https://www.iit.edu/humanities/about/cepe-2023

    Conference

    ConferenceInternational Conference on Computer Ethics, CEPE 2023
    Abbreviated titleCEPE 2023
    Country/TerritoryUnited States
    CityChicago
    Period16/05/2318/05/23
    Internet address

    Keywords

    • Accurate AI models
    • Epistemology
    • Social value of privacy
    • Trust
    • Trust norms

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