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Vilas Dhar

President, Patrick J. McGovern Foundation. Working at the intersection of AI, governance, and public purpose.

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Care and Answerability

Building accountability into technological systems that affect human work and wellbeing.

Care is not a luxury in technology design. It is a requirement. When systems affect how people work, how they access healthcare, how they are treated by institutions, the people who build those systems have an obligation to care about the consequences.

Answerability means that when something goes wrong—when an algorithm denies someone a loan, when a system misidentifies someone, when a technology causes harm—there is a person or institution that can be held accountable for it.

The problem with much of today's AI is that it is designed without care and deployed without answerability. Algorithms are optimized for efficiency, not for the people they affect. And when they cause harm, the responsibility is diffused across so many actors—the company that built it, the company that deployed it, the regulators who didn't catch it—that no one is actually accountable.

Building care and answerability into technology requires:

  • Centering human impact: Designing systems with the people affected by them, not just for them.
  • Clear responsibility: Ensuring that someone is accountable when systems cause harm.
  • Redress mechanisms: Creating ways for people harmed by technology to seek remedy.
  • Transparency: Making visible how systems work and how they affect people.

Care and answerability are not constraints on innovation. They are the foundation of technology that serves human purposes rather than undermining them. The question is not whether we can afford to build care into technology. It is whether we can afford not to.

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