"The benefits of AI are immense. Unparalleled efficiency. Speed. Convenience. But every advantage carries a price tag. And I believe AI is a perfect example. AI can radically simplify our lives (and I use it often), yet at the same time, it threatens to erode the very foundation of trust - trust in information, trust in institutions, and even trust in one another."
"In the knowledge work age, your value was often measured by your IQ. But as Kevin Kelly argues, in the age of AI, the more critical metric is shifting. What matters most is no longer just intelligence, but what he calls the Trust Quotient - the ability to be authentic and develop trust in a world where machines can imitate almost everything else."
"They take no responsibility for the trouble they may cause with their errors. In fact, this difference is currently the key difference between human employees and AI workers. The buck stops with the humans. They take responsibility for their work; you hire humans because you trust them to get the job done right. If it isn't, they redo it, and they learn how to not make that mistake again."
AI delivers unparalleled efficiency, speed, and convenience while simultaneously threatening foundational trust in information, institutions, and interpersonal relationships. Value in work is shifting from raw intelligence toward a Trust Quotient that measures authenticity and the ability to build trust where machines can mimic many tasks. Trust can be decomposed into security, reliability, responsibility, and accountability, each requiring clearer definitions and measurement. Current AI systems do not assume responsibility for errors, unlike humans who correct mistakes and learn. That absence of accountability makes AI harder to trust and raises the premium on accountable, authentic actors.
Read at Big Think
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