Development Potential of Intermittent Combustion (I.C) Aircraft Engines for Commuter Transport Applications

Willis, E. A.; Olcott, John B.

doi:10.4271/820718

Cited by 6 publications

(1 citation statement)

References 9 publications

(2 reference statements)

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“…In this sense, the exploitation of errors and weaknesses of contractual counterparties may indeed be an unintentional side effect of algorithmic profit maximisation. 52 Nevertheless, with respect to the concept of manipulation, the fact that the trader did deliberately employ an unconstrained model, without "checks and balances" for consumer weaknesses, should in principle be sufficient to attribute even the unintentional targeting of manipulable traits to the trader (see for details below, Section 3.2.1.2). 53…”

Section: Unintentional Targetingmentioning

confidence: 99%

Manipulation by algorithms. Exploring the triangle of unfair commercial practice, data protection, and privacy law

Hacker

2021

European Law Journal

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The optimisation of sales practices in consumer markets through machine learning not only harbours the potential to better match consumer preferences with products, but also risks to facilitate the exploitation of consumer weaknesses discovered via data analysis. More specifically, recent technological advances have brought us to the edge of mind‐reading technologies, which automatically analyse mental states and adapt offers accordingly, in potentially manipulative ways. This article shows that, in market contexts, the challenges of manipulation by algorithm necessitate an integrated understanding of unfair commercial practice, data protection, and privacy law. It maps the interactions between these contiguous yet distinct fields of law, and draws on economics and computer science to develop a novel framework to deal with algorithmic influence. Furthermore, it critically discusses the Commission proposals for the Digital Services Act and the Artificial Intelligence Act, and suggests to complement them with more broadly applicable measures to mitigate algorithmic manipulation.

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Section: Unintentional Targetingmentioning

confidence: 99%