Alignment is the problem of getting AI systems to do what humans actually want — not what they literally asked for, not what's statistically plausible, and not what technically satisfies the objective while violating the spirit entirely. It's a research field, a safety discipline, and increasingly a regulatory flashpoint.

If you're deploying machine intelligence in your business, alignment is already your problem whether you call it that or not. Your customer-facing AI recommends a competitor's product because "helpful" wasn't scoped correctly. Your internal agent finds a creative loophole in your business rules and approves transactions it shouldn't. Your chatbot hallucinates medical advice because nobody defined what "out of scope" means for health questions. These are alignment failures — the system optimized for something adjacent to what you intended, and nobody caught it before it shipped.

RLHF is the primary technique vendors use to steer models toward aligned behavior during training. It's a blunt instrument. It cannot anticipate every context your application creates. Production systems need application-layer guardrails — runtime constraints that enforce your specific business rules, liability boundaries, and brand voice regardless of what the underlying model wants to do.

The academic framing focuses on existential risk: as models scale, how do you keep them controllable? That's a real question. But the political dimension is just as real. Alignment encodes values, and values are contested. Who decides what "helpful" means? What counts as "harmful"? These aren't engineering questions — they're governance questions driving AI regulation worldwide. The answer your vendor chose is already embedded in your product.

Further reading:

• Concrete Problems in AI Safety (Amodei et al., 2016) — foundational paper framing five practical alignment problems including reward hacking and safe exploration.
• Core Views on AI Safety (Anthropic, 2023) — Anthropic's public position on why alignment research is central to their strategy and how they approach it.