Hidden Societal Costs and Design Challenges of AI-Driven Behavioral Engineering in Consumer Systems
Summary
This qualitative exploratory analysis examines the hidden societal costs and design challenges of AI-driven consumer systems. By synthesizing insights from psychology, digital ethics, behavioral economics, and human–AI interaction, the study identifies ten interrelated domains—including hyper-personalization and behavioral engineering—where AI is actively engineering behavioral environments rather than merely optimizing consumer experiences. The article highlights the ethical and societal implications of algorithmic design in consumer contexts.
Source
bskyHidden Societal Costs and Design Challenges of AI-Driven Behavioral Engineering in Consumer Systemsdergipark.org.trKey quotes
· 3 pulledArtificial Intelligence (AI) is no longer just optimizing consumer experiences—it is actively engineering behavioral environments through algorithmic design.
This qualitative exploratory analysis examines the hidden societal costs and design challenges of AI-driven consumer systems by synthesizing insights from psychology, digital ethics, behavioral economics, and human–AI interaction.
The study identifies ten interrelated domains—such as hyper-personalization—where AI shapes consumer behavior in ways that raise significant ethical concerns.
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