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Wellbeing measures and promotion should be part of AI evaluation



# "RecommendationsA/IS creators should work to better understand and apply well-being metrics in the algorithmic age. Specifically:- A/IS creators should work directly with experts, researchers, and practitioners in wellbeing concepts and metrics to identify existing metrics and combinations of indicators that would bring support a “triple bottom line”, i.e., accounting for economic, social, and environmental impacts, approach to wellbeing. However, well-being metrics should only be used with consent, respect for privacy, and with strict standards for collection and use of these data.- For A/IS to promote human well-being, the well-being metrics should be chosen in collaboration with the populations most affected by those systems—the A/IS stakeholders—including both the intended end-users or beneficiaries and those groups whose lives might be unintentionally transformed by them. This selection process should be iterative and through a learningand continually improving process. In addition, “metrics of well-being” should be treated as vehicles for learning and potential mid- course corrections. The effects of A/IS on human well-being should be monitored continuously throughout their life cycles, byA/IS creators and stakeholders, and both A/IS creators and stakeholders should be prepared to significantly modify, or even roll back, technology that is shown to reduce well-being, as defined by affected populations.- A/IS creators in the business or academic, engineering, or policy arenas are advised to review the additional resources on standards development models and frameworks at the end of this chapter to familiarize themselves with existing indicators relevant to their work.

## Further Resources- PricewaterhouseCoopers (PwC). Managing and Measuring Total Impact: A New Language for Business Decisions,

  1. - World Economic Forum. The Inclusive Growth and Development Report 2017, Geneva, Switzerland: World Economic Forum, January 16,
  2. - OECD Guidelines on Measuring Subjective Well-being,
  3. - National Research Council. Subjective WellBeing: Measuring Happiness, Suffering, and Other Dimensions of Experience. DC: The National Academies Press,
  4. "p73-74"Create technical standards for representing goals, metrics, and evaluation guidelines for well-being metrics and their precursors and components within A/IS that include:
Overarching Principles Respect for persons
Principles Wellbeing
Sources IEEE
Title Wellbeing measures and promotion should be part of AI evaluation