Key Insights

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  Traditional product metrics often ignore the broader individual and societal impacts of digital health technologies.

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  Dark Metrics is a framework focusing on measuring disempowerment, exclusion, addiction, and distraction caused by health tech.

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  Disempowerment occurs when technology undermines user autonomy, especially in sensitive healthcare decision-making.

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  Racial bias in AI can manifest indirectly, as in algorithms using proxies like healthcare costs that perpetuate inequities.

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  Co-creating design solutions with diverse voices is critical to proactively identifying unintended consequences.

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  Measuring unhealthy engagement requires going beyond 'engagement' metrics to include wellbeing indicators like stress or eye strain.

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  Distraction from clinical tools (e.g., EMRs) can reduce quality of care by pulling medical professionals away from patient interaction.

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  Embedding racial equity rubrics into the design process helps ensure inclusive user experiences beyond just product visuals.

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  Augmented intelligence should support, not replace, human decision-making especially in healthcare.

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  Early, collaborative risk ideation exercises like 'premortems' are recommended to anticipate potential harms before launch.

Notable Quotes