D
Manipulation
7 plates
- D.18 A Taxonomy of AI Manipulation A six-cell map of the techniques by which AI alters human decisions — bias exploitation, personalization, affective steering, generative deception, simulated influence, dynamic dark patterns.
- D.19 Exploiting Cognitive Biases How AI scales the exploitation of known psychological biases — confirmation, anchoring, availability, framing — and why the scaling matters more than the bias menu.
- D.20 Personalization and Polarization How recommendation algorithms produce polarization not as a bug but as a side effect of optimizing for engagement — and what fifteen years of evidence shows.
- D.21 Disinformation at Scale Generative AI restructured the economics of fake-news production. One operator can now run an outlet that twenty years ago required a newsroom. What follows from that, and what doesn't.
- D.22 Deepfakes When the technical bar for convincing audiovisual fakes drops to consumer hardware, the cost of producing fabricated reality drops with it. What that means for evidence, trust, and political life.
- D.23 Manipulation of Perceived Reality When the substrate of evidence becomes routinely fabricable, "shared reality" stops being a free social good. The deeper consequence of the manipulation taxonomy.
- D.24 Ethical Safeguards The regulatory and design responses currently on the table — labeling, watermarking, restrictions on political-influence AI, mandatory disclosure, and what each can and cannot achieve.