What it is
AI alignment is the challenge of making sure AI systems actually do what humans want them to do — not just what we literally tell them to do. It's the difference between saying "maximise customer satisfaction scores" and the AI learning that the easiest way to do that is to only survey happy customers. Technically correct. Completely useless.
This might sound like a niche research problem, but it shows up in everyday AI tools more than you'd think. A content recommendation algorithm "aligned" to maximise engagement might push increasingly extreme content because that's what keeps people clicking. A hiring AI told to find candidates like your best performers might systematically exclude anyone who doesn't fit a narrow demographic. The AI is doing exactly what it was told — the problem is that what it was told wasn't quite what anyone meant.
Why it matters for your job
At the big-picture level, AI alignment is one of the most important problems in technology. If we build increasingly powerful AI systems that optimise for the wrong things, the consequences get worse as the AI gets more capable. That's what the headlines about "existential risk" are about, and while I think some of that is overblown, the underlying concern is legitimate.
At the practical level — the one that affects your Tuesday morning — alignment issues show up as AI tools that produce subtly wrong or biased results. If you're relying on an AI to help with decisions at work, understanding that these systems can optimise for the wrong thing is genuinely important. It's the difference between using AI as a helpful tool and blindly trusting a system that might be solving a different problem than the one you think you asked it to solve.
What to do about it
Always check AI outputs against your actual goals, not just the metrics the AI was given. If something looks too good to be true — perfect scores, flawless results — ask what the AI might be optimising for instead. A healthy scepticism about AI outputs isn't pessimism; it's professionalism.
This glossary is part of the full guide, along with role-specific playbooks and redundancy rights cheat sheets → See what’s inside