Human Factors in the Age of AI Ops: Re-Engineering Trust between Humans and...
summary
Teams are deploying AI faster than they build trust: 68% of orgs have AI widely, yet only 16% fully trust it for decisions and 73% of alerts are false positives, producing 960+ daily alerts and rising toil. Real failures include an auto-remediator deadlock (autonomous taxis stalled until a human checkpoint) and silent fixes that change core production artifacts. The proposed fix is a governance-backed practice called Commanding the Chaos with guard rails, feedback loops, and metrics like meantime to WTF and meantime to trust.
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chapters (21)
- 0:00Human-centric AI ops intro
- 1:00Human intuition vs machine logic
- 3:05Trust paradox in AI adoption
- 5:22Trust through logic empathy authenticity
- 7:12AI drift and blind automation risks
- 9:46Cognitive knowledge vs institutional experience
- 11:12Documentation hoarding silent failures
- 12:16False positives and alert noise
- 13:38Cognitive bias in incident response
- 15:23AI toil and on-call burnout
- 16:08Psychological safety to command chaos
- 18:14Systems thinking in incident storms
- 20:23Real DR readiness beyond exercises
- 21:27Full alignment for chaos control
- 23:10Event orchestration risk assessment
- 24:14First two minutes of incident decisions
- 25:18Cultural cognitive procedural convergence
- 26:44AI maturity observe to partner
- 28:09Transparency clarity from overrides
- 29:325 takeaways for Monday
- 31:40Time to trust and fatigue eradication
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