https://aiforhumanexpertise.com/tags/human-in-the-loop/Recent content in Human-in-the-Loop on AI For Human ExpertiseHugoen-gbSat, 11 Jul 2026 00:00:00 +0000https://aiforhumanexpertise.com/blog/which-doors-should-machines-walk-through/Sat, 11 Jul 2026 00:00:00 +0000https://aiforhumanexpertise.com/blog/which-doors-should-machines-walk-through/<p>Jeff Bezos gave managers a simple test for how much care a decision deserves. Some decisions are two-way doors: walk through, dislike what you find, and walk back out at little cost. These should be made quickly, by individuals or small teams, because caution buys nothing. Others are one-way doors: irreversible, or nearly so, and worth slow deliberation and senior sign-off. His warning was that growing organisations tend to apply the heavyweight, one-way process to everything, and grind to a halt as a result.</p>https://aiforhumanexpertise.com/blog/designing-ai-to-protect-expertise/Sat, 30 May 2026 00:00:00 +0000https://aiforhumanexpertise.com/blog/designing-ai-to-protect-expertise/<h2 id="erosion-is-a-design-choice-not-a-destiny">Erosion Is a Design Choice, Not a Destiny</h2> <p>The first two posts in this series made an uncomfortable case: AI can quietly erode the very expertise it depends on, and across domains <a href="https://aiforhumanexpertise.com/blog/deskilling-across-domains/">that erosion is already happening</a>. It would be easy to read that as an argument against AI. It is not.</p> <p>AI systems do not have to deskill the people who use them. That outcome is the result of design decisions, usually unexamined ones. Make different decisions and the same technology can preserve expertise, and in some cases actively strengthen it. This post is about those decisions.</p>