The boring half of AI: verification is harder than generation

Description and use

<p>I have spent a long stretch building small tools around AI systems, and people keep asking me what ties them together. The honest answer is a single word that gets overused: trust. But I do not mean trust as a feeling. I do not mean a model that sounds confident, or a demo that goes well on stage. I mean something I can define operationally, test, and point at in code. This essay is my attempt to say what "trustworthy AI infrastructure" actually means to me, using the things I have already built as evidence.</p> <p>Here is the short version. A system earns trust when you enforce constraints

Problem

<p>I have spent a long stretch building small tools around AI systems, and people keep asking me what ties them together. The honest answer is a single word that gets overused: trust. But I do not mean trust as a feeling. I do not mean a model that sounds confident, or a demo that goes well on stage. I mean something I can define operationally, test, and point at in code. This essay is my attempt to say what "trustworthy AI infrastructure" actually means to me, using the things I have already built as evidence.</p> <p>Here is the short version. A system earns trust when you enforce constraints

Outcome

<p>I have spent a long stretch building small tools around AI systems, and people keep asking me what ties them together. The honest answer is a single word that gets overused: trust. But I do not mean trust as a feeling. I do not mean a model that sounds confident, or a demo that goes well on stage. I mean something I can define operationally, test, and point at in code. This essay is my attempt to say what "trustworthy AI infrastructure" actually means to me, using the things I have already built as evidence.</p> <p>Here is the short version. A system earns trust when you enforce constraints

Evidence

The boring half of AI: verification is harder than generation

Source