Prioritizing well-being in the age of the algorithm
summary
Argues that AI success metrics must shift from GDP/profit to triple bottom line outcomes, citing New Zealand’s 2019 well‑being budget and the Stiglitz commission on measuring human flourishing; points to Facebook’s 2018 “meaningful social interaction” change as lacking well‑being metrics and the Partnership on AI’s “what are we optimizing for” work; describes an IEEE recommended practice (a societal impact assessment) that uses about 50 indicators, mixes objective and subjective data, and notes a 150‑executive survey with 91% backing stakeholder‑focused business.
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chapters (12)
- 0:00Introduction
- 0:28The caregivers
- 1:14Not counting
- 2:49Optimization for AI
- 6:12What should we be optimizing
- 13:11Ethical AI
- 18:27Measuring Wellbeing
- 21:44The triple bottom line
- 22:46Executive purpose study
- 24:06New Zealand case study
- 26:09Ieee
- 28:24Conclusion
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