The CARE Loop: Making Care Systematic, Not Accidental
Dr. Hana Kartika was a pediatrician in Jakarta when she noticed something wrong with her triage AI. Patients with non-Western surnames were being consistently ranked lower in priority. It wasn’t a dramatic failure — no one died, no alarms went off. It was a quiet erosion of care, invisible unless you were looking for it.
Malik, a fulfillment center manager in Bangalore, found a different version of the same problem. His AI recommended skipping deliveries to elevator-less buildings — a 4.3-minute delay per stop that the efficiency metrics couldn’t justify. The people living in those buildings were elderly, low-income, and invisible to the optimization algorithm.
The CARE Loop is the tool that scales what Hana and Malik did individually into something organizations can practice together. Four movements: Context (map the whole system — who’s affected, what assumptions exist), Acknowledge (name impacts honestly), Respond (act at two scales — immediate fixes and systemic changes), and Evaluate (review using both metrics and stories).
What I find important about this tool is that it treats care not as a sentiment but as infrastructure. Malik’s “dignity buffers” — the algorithmic allowances that preserved service to vulnerable populations despite efficiency costs — turned out to generate loyalty, reduce turnover, and create advocacy that no marketing budget could buy. Care, it turns out, has a return on investment. It just doesn’t show up in the metrics most organizations use.
Download the CARE Loop from the book’s website, or explore it in full in AI and the Art of Being Human.
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The CARE Loop is one of 21 practical tools from AI and the Art of Being Human by Jeffrey Abbott and Andrew Maynard. The characters and narratives in the book are fictional — designed to reveal truths about AI and being human that only stories can capture.