User Experience Now Includes Machine Experience
summary
Argues that machines are users too and recommends concrete practices: build an AI journey map that maps decision trees and explicit sequences, attach system rules/logic and create empathy profiles, label training data and insist it is complete accurate consistent timely. Cites failures: Google search’s 1999 single-box risk, image classifiers tagging people as gorillas, Microsoft Tay becoming a racist chatbot, Facebook bots inventing a private language. Proposes objective functions, impact regulators, reward capping and penalizing empowerment to prevent reward hacking.
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chapters (22)
- 0:00Intro
- 0:27About Me
- 1:28Dueling Hierarchies of Needs AI
- 2:39Embodiment
- 3:28Experience
- 4:20Consciousness
- 5:12Humanity Survives by Being Irrational
- 6:30Key Data Points
- 7:37Start with Guiding Principles for Al
- 8:09Create Empathy Profile
- 8:51CUSTOMER JOURNEY MAP
- 9:39Design for the Machine User
- 11:02Familiarity Trap
- 12:00Scarcity
- 12:10Acceptance
- 12:51Algorithmic Bias
- 14:34Narrow Use Case
- 15:11Poor Extrapolation of Real World
- 15:34Misaligned Objectives
- 15:57Unexpected Outcomes
- 16:14Al Risk Mitigations
- 20:23Key Takeaways
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