Philosophical Views on the Value of Privacy

Negley, Glenn

doi:10.4324/9781315246024-1

Cited by 9 publications

(11 citation statements)

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“…From a legal perspective, issues of privacy have been discussed extensively for well over 100 years (Warren & Brandeis, 1890). Philosophical discourse on topics such as privacy and self‐determination has a history so well‐seasoned that it makes a mere century of legal scholarship seem quaint by comparison (see Negley, 1966). Importantly, big data methods and technologies have not been engineered in an ethical vacuum, released to world with no concern for consequences.…”

Section: The Personality Panoramamentioning

confidence: 99%

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The Personality Panorama: Conceptualizing Personality through Big Behavioural Data

2020

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Personality psychology has long been grounded in data typologies, particularly in the delineation of behavioural, life outcome, informant‐report, and self‐report sources of data from one another. Such data typologies are becoming obsolete in the face of new methods, technologies, and data philosophies. In this article, we discuss personality psychology's historical thinking about data, modern data theory's place in personality psychology, and several qualities of big data that urge a rethinking of personality itself. We call for a move away from self‐report questionnaires and a reprioritization of the study of behaviour within personality science. With big data and behavioural assessment, we have the potential to witness the confluence of situated, seamlessly interacting psychological processes, forming an inclusive, dynamic, multiangle view of personality. However, big behavioural data come hand in hand with important ethical considerations, and our emerging ability to create a ‘personality panopticon’ requires careful and thoughtful navigation. For our research to improve and thrive in partnership with new technologies, we must not only wield our new tools thoughtfully, but humanely. Through discourse and collaboration with other disciplines and the general public, we can foster mutual growth and ensure that humanity's burgeoning technological capabilities serve, rather than control, the public interest. © 2020 European Association of Personality Psychology

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Section: The Personality Panoramamentioning

confidence: 99%

“…Rosenthal & Hooley, 2010), aging (e.g. Nye, Allemand, Gosling, Potter, & Roberts, 2016), and workplace attainment (e.g. Hough, 2001).…”

Section: Approaching a Modern Understanding Of Personality Datamentioning

confidence: 99%

The Personality Panorama: Conceptualizing Personality through Big Behavioural Data

2020

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“…• privacy in the context of criminal justice sentencing may be justifiably traded for explicability, which guarantees a person transparency with respect to how a sentence is calculated; • conversely, explicability may be traded in systems that process social media data, where privacy preserving protocols may render it impossible to explicate with respect to processing specifically to the person [22][23][24]. ]; however, and contrastingly, regarding the latter there is considerable contention [27][28][29][30]. Indeed, it is an open question as to whether or not a first-principles philosophical defence of privacy is required for privacy to be considered a fundamental (legal) right, or, if it is sufficient, as it most often the case, that the 'fundamental right of privacy' is derived from the notion of 'human dignity' [31,32], see also GDPR (Article 88).…”

Section: Multiplicity Of Valuesmentioning

confidence: 99%

The interrelation between data and AI ethics in the context of impact assessments

Kazim

Koshiyama

2020

AI Ethics

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In the growing literature on artificial intelligence (AI) impact assessments, the literature on data protection impact assessments is heavily referenced. Given the relative maturity of the data protection debate and that it has translated into legal codification, it is indeed a natural place to start for AI. In this article, we anticipate directions in what we believe will become a dominant and impactful forthcoming debate, namely, how to conceptualise the relationship between data protection and AI impact. We begin by discussing the value canvas i.e. the ethical principles that underpin data and AI ethics, and discuss how these are instantiated in the context of value trade-offs when the ethics are applied. Following this, we map three kinds of relationships that can be envisioned between data and AI ethics, and then close with a discussion of asymmetry in value trade-offs when privacy and fairness are concerned.

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“…The Recital appears to equivocate respect for human dignity with respect for privacy. Metaphysically, this is a 'thick' concept entailing significant argument: at present there is no philosophical consensus that privacy is primary and a fundamental value, indeed, it may be argued that the value of privacy has no foundational status but rather is a derivative of modern political structures [26,27]. Expanding upon this, it is important to distinguish between discussions of privacy as a fundamental right qua law, and privacy as a fundamental right qua the philosophical tradition.…”

Section: Context Sensitivitymentioning

confidence: 99%

The Interrelation Between Data and AI Ethics in the Context of Impact Assessments

Kazim

Koshiyama

2020

SSRN Journal

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Philosophical Views on the Value of Privacy

Cited by 9 publications

References 0 publications

The Personality Panorama: Conceptualizing Personality through Big Behavioural Data

The Personality Panorama: Conceptualizing Personality through Big Behavioural Data

The interrelation between data and AI ethics in the context of impact assessments

The Interrelation Between Data and AI Ethics in the Context of Impact Assessments

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