  Artificial Intelligence (AI) has an increasing impact on all areas of
people's livelihoods. A detailed look at existing interdisciplinary and
transdisciplinary metrics frameworks could bring new insights and enable
practitioners to navigate the challenge of understanding and assessing the
impact of Autonomous and Intelligent Systems (A/IS). There has been emerging
consensus on fundamental ethical and rights-based AI principles proposed by
scholars, governments, civil rights organizations, and technology companies. In
order to move from principles to real-world implementation, we adopt a lens
motivated by regulatory impact assessments and the well-being movement in
public policy. Similar to public policy interventions, outcomes of AI systems
implementation may have far-reaching complex impacts. In public policy,
indicators are only part of a broader toolbox, as metrics inherently lead to
gaming and dissolution of incentives and objectives. Similarly, in the case of
A/IS, there's a need for a larger toolbox that allows for the iterative
assessment of identified impacts, inclusion of new impacts in the analysis, and
identification of emerging trade-offs. In this paper, we propose the practical
application of an enhanced well-being impact assessment framework for A/IS that
could be employed to address ethical and rights-based normative principles in
AI. This process could enable a human-centered algorithmically-supported
approach to the understanding of the impacts of AI systems. Finally, we propose
a new testing infrastructure which would allow for governments, civil rights
organizations, and others, to engage in cooperating with A/IS developers
towards implementation of enhanced well-being impact assessments.
