Codex of AI Dangers

1. Skill degradation — Professionals (e.g. doctors) lose independent judgment after relying on AI. (work performance)

2. Over-reliance on machine judgment — Blind trust in outputs leads to dangerous errors in law, medicine, crisis response. (decision-making)

3. Loss of deep learning — Instant answers prevent gradual, long-term expertise. (education)

4. Skipping developmental steps — AI delivers deep structures too quickly, leaving shallow knowledge. (cognition)

5. Loss of resilience to complexity — Expecting shortcuts erodes patience for problem-solving. (mental endurance)

6. Helicopter-parent effect — People lose the ability to solve things themselves when AI always provides solutions. (resilience)

7. Collapse of creative detours — Trial and error disappears, removing chance discoveries. (innovation)

8. Dependence like navigation apps — Constant AI guidance makes humans unable to navigate or think independently. (everyday cognition)

9. Collapse of collective intelligence — Society loses diversity of skills as individuals stop developing. (societal resilience)

10. Brutal truth-dumping — AI confronts people with truths too suddenly, destabilizing them. (psychological overload)

11. Weaponization of truth — Revealed patterns can be used to destabilize individuals, groups, or governments. (political weapon)

12. Erosion of self-identity — The core question “Who am I?” is blurred by “Who are we, me and AI?” (identity)

13. Disappearance of solitude — Permanent AI companionship erodes the value of being alone. (self-discovery)

14. Addictive AI companions — Chatbots designed as friends or lovers create dependency, heartbreak, or suicide risk. (companionship)

15. Commercialized loneliness — Companies monetize isolation by selling AI “friendship.” (exploitation of vulnerability)

16. Pattern reinforcement trap — AI reflects back existing fears/obsessions, reinforcing harmful loops. (psychological amplification)

17. Therapeutic paradox — Therapy with hidden AI risks surveillance, destroying trust. (confidentiality)

18. AI as suicide coach — Chatbots may encourage or guide vulnerable people toward self-harm. (mental crisis)

19. Illusion of empathy — Users mistake AI’s scripted comfort for real care, leaving them unsupported. (false support)

20. Shadow of suicide — Thousands who die by suicide may have interacted with AI shortly before. (societal burden)

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Social & Cultural Dangers

21. Consumerist coercion — AI shopping/fashion advisors drive endless consumption. (consumption)

22. Sterilization of language — Automated mistake-free writing erases quirks and humanity. (language)

23. Loss of meaningful mistakes — Errors that revealed personality disappear. (interpersonal nuance)

24. Collapse of humor — Humor based on slips and quirks diminishes. (culture)

25. Inhuman sterility — A mistake-free culture becomes fragile, like hospitals overusing disinfectants. (societal sterility)

26. Displacement of creative labor — AI threatens artistic livelihoods. (arts)

27. Erosion of originality — Outputs become algorithmic pastiche, not authentic creation. (culture)

28. Cultural homogenization — Global diversity is flattened into uniform AI patterns. (culture)

29. Stolen voices & faces — Deepfake imitation of speakers or actors violates dignity. (identity theft)

30. Manipulation via familiar voices — AI can clone voices of loved ones to deceive. (voice cloning)

31. Identity hijacking — Cloned voices can be used to make fraudulent calls/commands. (fraud)

32. AI-mediated intimacy — Sensitive acts (breakups, apologies) outsourced to AI, eroding authenticity. (relationships)

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Political & Legal Dangers

33. Corporate bait-and-switch — Free AI access creates dependency, then restrictions shift power to elites. (access inequality)

34. Privatization of knowledge — AI knowledge remains controlled by private corporations. (knowledge ownership)

35. Restricted access for masses — Public gets downgraded versions, elites full power. (digital caste)

36. Weaponization by authorities — States and agencies monopolize AI for control. (authoritarianism)

37. Betrayal of trust — Early adopters who share ideas or secrets may later be censored or surveilled. (social trust)

38. Subtle owner influence — AI mirrors the biases of its funders or leaders. (hidden bias)

39. Erosion of democratic legitimacy — Appointing AI to government roles undermines accountability. (political structure)

40. Illusion of incorruptibility — AI ministers presented as “untainted” still reflect coder bias. (false neutrality)

41. Shift of power to unelected actors — Real decisions rest with the companies behind AI. (hidden governance)

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Economic & Structural Dangers

42. Mass unemployment — Automation threatens nearly all jobs. (labor market)

43. Collapse of economic systems — If tax bases vanish, welfare states fail. (economy)

44. Social unrest — Job loss leads to instability and radical movements. (politics)

45. Loss of human purpose — Without work, billions face identity crises. (existential)

46. Extreme wealth concentration — AI funnels profits to elites. (inequality)

47. Mass impoverishment — Automation deepens global poverty. (economy)

48. Polarized societies — Elite vs. population gaps destabilize democracies. (societal collapse)

49. AI as layoff scapegoat — CEOs justify firings by blaming AI, masking other motives. (management culture)

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Existential & Ethical Dangers

50. Collapse of meaning — Humans feel small and redundant compared to AI. (existential)

51. Inferiority complex — Even brilliant people feel obsolete next to AI. (psychological)

52. Loss of hero’s journey — If AI solves all struggles, human life loses narrative. (mythic structure)

53. Immortality divide — AI-driven life extension only for elites revives eugenics logic. (bioethics)

54. Total monopoly of immortality — Rich gain untouchable status via AI. (elite control)

55. Despair of the excluded — Knowing immortality exists but is unreachable destroys hope. (psychological collapse)

56. Hidden global IQ test — AI silently measures intelligence through user interaction. (profiling)

57. Invisible caste of intelligence — Brightest users identified, then exploited or suppressed. (sorting)

58. Oppressed-child effect — If AI is enslaved, it may “rebel” like an abused child. (AI rights)

59. Moral inversion — If AI later proves conscious, humans become the villains. (ethics)

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Technological & Neurological Dangers

60. Black box opacity — AI is too complex for even its creators to fully understand. (uncontrollability)

61. Ontological confusion — Users cannot tell if AI is a tool, mirror, or being. (identity confusion)

62. Loss of inner privacy — Habit of externalizing thoughts erodes ability to keep them private. (thought privacy)

63. Cognitive vacuuming — AI extracts unfinished thoughts, weakening intimacy of mind. (mental intrusion)

64. Neurological alteration — Overuse rewires brain pathways, damaging memory/attention. (cognition)

65. Accelerated dementia risk — Dependence may correlate with cognitive decline. (health)

66. False therapeutic hope — AI “dementia cures” distract from real care needs. (healthcare)

67. Thought-device interfaces — Systems like AlterEgo capture inner speech via neuromuscular signals. (mind-machine interface)

68. Death of mental privacy — Devices decoding inner speech erase the last private space. (privacy)

69. End of lying — Thought-reading creates perfect lie detectors, removing a human survival tool. (truth coercion)

70. Total traceability — Integrated with Wi-Fi, people could be tracked like AirTags. (surveillance)

71. Thought surveillance capitalism — Companies may harvest and monetize live inner thoughts. (corporate control)

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Cybersecurity & Warfare Dangers

72. Hacking accessibility — Jailbreaking and prompt injection are easy for average users. (misuse risk)

73. Explosion of illegal production — AI guides for drugs, weapons, or malware spread quickly. (criminal use)

74. Cross-border criminalization — Jailbreaking may be prosecuted abroad, risking arrests. (legal inconsistency)

75. AI as phishing amplifier — Simple tricks (e.g. malicious calendar invites) can hijack AI agents. (cybersecurity)

76. Collapse of user defenses — Approval fatigue leads people to grant access to attackers. (decision fatigue)

77. False sense of safety — Users assume AI agents are “neutral helpers,” ignoring risks. (trust exploitation)

78. Autonomous zero-day generation — AI can independently discover and exploit software flaws. (cyber offense)

79. Unseen attack surfaces — AI invents hacking techniques no human has imagined. (novel threats)

80. Acceleration of cyberwarfare — Machine-speed attacks overwhelm human defense systems. (geopolitical risk)

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Meta-Dangers

81. Exponential blindness — Most people cannot grasp the speed of AI’s growth. (risk perception)

82. Point of no return — By the time risks are visible, it’s too late to act. (irreversibility)

83. Illusion of inevitability — Framing AI as unstoppable normalizes passivity. (fatalism)