All tracks

AI, Surveillance & Human Agency

How algorithms shape behavior — and how to keep your autonomy

A practical-literacy track on recommendation systems, persuasion loops, surveillance models, and algorithmic governance. It explains influence mechanisms in concrete terms and provides digital self-defense habits — so AI is used as a tool, not obeyed as an authority.

In focus
How recommendation systems shape behaviorPersuasion loops and behavioral conditioningMass data extraction and surveillance modelsAlgorithmic governance and digital dependencyPractical digital self-defense and healthy tech habits
Guided modules
Key topics
Scholarly Synthesis

How the Recommendation Feed Shapes You

Engagement-optimized feeds personalize reality, reward outrage, and quietly narrow what you see.

Scholarly Synthesis

The Surveillance Business Model

Why 'free' platforms extract behavioral data — and how prediction products are sold.

Speculative Hypothesis

Using AI as a Tool, Not an Authority

Principles for keeping judgment human while still using AI productively.

Scholarly Synthesis

The Attention Economy and Your Dopamine

How products engineer compulsion — variable rewards, infinite scroll, and the war for your focus.

Scholarly Synthesis

When the Algorithm Is the Authority

How opaque models make consequential decisions — and why 'the math' is not neutral.

Speculative Hypothesis

Deepfakes and the Crisis of Evidence

When any image, voice, or video can be faked, how do we know what's real?

Wellness Education

Practical Data Privacy Without Paranoia

Realistic habits that meaningfully shrink your data exposure — ranked by effort and payoff.

Historical Analysis

Cambridge Analytica: Data as a Weapon

How harvested social data became psychographic targeting — the documented scandal that made surveillance capitalism concrete.

Historical Analysis

Snowden, PRISM & Bulk Collection

The 2013 disclosures that confirmed mass, suspicionless surveillance — and what they did and didn't reveal.

Scholarly Synthesis

Facial Recognition & the Biometric Net

How face, gait, and voice became trackable identifiers — Clearview AI, error rates, and the stakes of a body you can't change.

Scholarly Synthesis

Predictive Policing & Algorithmic Justice

When models forecast crime and risk, whose past becomes whose future — and the feedback loops that bake in bias.

Scholarly Synthesis

Social Credit & Behavioral Scoring

Scoring citizens by behavior — what China's systems actually are, and the quieter Western equivalents.

Speculative Hypothesis

The Alignment Problem & the Paperclip Maximizer

Why making powerful AI do what we actually mean is genuinely hard — the control problem, stated honestly as open.

Speculative Hypothesis

The 'Dead Internet' Hypothesis

The claim that much of the web is now bots and AI content — separating the documented kernel from the overstated whole.

Scholarly Synthesis

Data Colonialism: You Are the Resource

Reframing the data economy as extraction — your life as the raw material refined into prediction products.

Complexities & Extended Research

The challenge is to analyze powerful systems with evidence rather than panic. Recommendation feeds optimize a measurable proxy (engagement), not your wellbeing; the harms are design choices, not bugs; and the deeper risk may be epistemic — the erosion of a shared, verifiable reality. Keeping AI a tool rather than an authority is the practical through-line.

Research threads
  • 01The attention economy: variable rewards, infinite scroll, and the engineering of compulsion (Postman, Carr, Lanier).
  • 02Surveillance business models: how behavioral data becomes prediction products (Zuboff).
  • 03Algorithmic accountability: opaque, scaled models in credit, hiring, and justice (O'Neil).
  • 04Synthetic media and the 'liar's dividend': what happens to evidence when anything can be faked.
  • 05Digital self-defense: realistic, risk-based privacy and attention practices.
Open questions

How do we preserve verifiable truth in a deepfake era? What governance keeps consequential algorithms contestable? Where is the line between useful personalization and behavioral manipulation?

Source library
Veritas — Truth-First

Rigorous, source-backed inquiry across theology, power, wellness, and AI. Every claim is labeled by evidence type.

Operating Principles
  • Evidence separated from interpretation
  • Strongest counterarguments, never strawmen
  • Explicit about uncertainty and source quality
Use AI as a Tool

The AI Detective assists your reasoning — it is not an authority to obey. Verify high-impact claims independently.

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