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Dark Patterns Powered by Machine Learning: The Role of Behavioral Science Ethics

Dark patterns, the “sludges” of the digital world, aim to distort consumers’ decision-making process. Dark patterns powered by machine learning represent an even higher threat, in that they don’t just trick users to do something, but alter human behavior in a durable, undetectable, and indefensible way. This article examines the main issues linked to machine learning powered dark patterns and seeks to outline possible solutions.

Three Ways the Internet of Things Is Shaping Consumer Behavior

The interconnection of devices within the “Internet of Things” (IoT) creates new data sources. Companies can now better observe people’s choices and test the effectiveness of different mechanisms to activate and retain more customers. It may also help policymakers overcome one of the most frequent problems of policy design: the lack of personalized content. We argue that the IoT not only disrupts the way we track our actions and monitor our goals, but also allows the identification of effective methods to alter our behavior. This is optimized by the combination of IoT, data analytics and behavioral science.

Machine Nudging

On the train from London to Brussels, the passenger sitting next to me suddenly gets agitated. I look at him puzzled, as this is a wagon entirely populated by people traveling for business and sudden noises or exuberant behaviour are noticeable like being dressed in a pink suit. My travel companion apologises and adds:"Damn, I [...]

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