Artificial Intelligence and Behavioral Engineering: Hidden Societal Costs and Design Challenges in Consumer Contexts

Abstract

Artificial 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, emotional AI, dark nudging, neuromarketing, and synthetic influencers—that reveal how AI systems reshape consumer autonomy, trust, and decision-making. A novel conceptual framework and Theme–Implication Matrix are developed to link AI’s behavioral mechanisms with design-level ethical risks and governance needs. Findings emphasize the need for transparent, human-centered AI architectures that balance personalization with cognitive integrity. The study contributes to socio-technical system design by framing AI as a behavioral engineering force with profound implications for consumer agency, digital equity, and sustainable innovation.

Keywords

• Artificial Intelligence (AI) in consumer systems
• Behavioral engineering and AI design
• Algorithmic personalization and decision-making
• Dark nudging and interface manipulation
• Emotion AI and neuromarketing ethics
• Digital autonomy and cognitive integrity
• Ethical AI and socio-technical risk.

Yapay Zekâ ve Davranışsal Mühendislik: Tüketici Bağlamlarında Gizli Toplumsal Maliyetler ve Tasarım Zorlukları

Abstract

Yapay zekâ (YZ), yalnızca tüketici deneyimlerini optimize eden bir araç olmanın ötesine geçerek, davranışsal ortamları algoritmik tasarım yoluyla yeniden şekillendiren bir mühendislik gücüne dönüşmüştür. Bu niteliksel ve keşifsel analiz, YZ’nin tüketici sistemlerindeki gizli toplumsal maliyetlerini ve tasarım temelli risklerini psikoloji, dijital etik, davranışsal iktisat ve insan–YZ etkileşimi alanlarından elde edilen bulgular ışığında bütüncül bir şekilde analiz etmektedir. Çalışmada, aşırı kişiselleştirme, duygusal yapay zekâ, karanlık yönlendirme, nöropazarlama ve sentetik etkileyiciler gibi on tematik alan belirlenmiştir. Bu alanlar, YZ’nin tüketici özerkliği, güveni ve karar alma süreçleri üzerinde nasıl hem açık hem örtük etkiler yarattığını ortaya koymaktadır. Araştırma, davranışsal mekanizmalar ile etik, politika ve tasarım düzeyinde müdahale alanlarını ilişkilendiren kavramsal bir çerçeve ve Tema–Sonuç Matrisi geliştirmiştir. Bulgular, YZ’nin sadece işlevsel değil; aynı zamanda davranışsal ve toplumsal yönleriyle de değerlendirilmesi gerektiğini savunmakta, insan merkezli, şeffaf ve etik temelli YZ sistemlerinin önemine dikkat çekmektedir.

Keywords

• Tüketici sistemlerinde Yapay Zekâ (YZ)
• Davranışsal mühendislik ve YZ tasarımı
• Algoritmik kişiselleştirme ve karar verme süreçleri
• Karanlık yönlendirme ve arayüz manipülasyonu
• Duygu temelli YZ ve nöropazarlama etiği
• Dijital özerklik ve bilişsel bütünlük
• Etik yapay zekâ ve sosyo-teknik riskler

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