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- ⚖️ What Is AI Alignment?
⚖️ What Is AI Alignment?
The challenge of making AI work for us, not against us

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Today, we’re learning about AI alignment. Let’s dive in!
TODAY’S LESSON
ENSURING AI WORKS FOR HUMANITY
What Is AI Alignment?

AI is getting more powerful, but how do we make sure it stays on our side? AI alignment is about ensuring machines act in ways that match human goals, ethics, and safety. Without it, AI could follow instructions in ways we didn’t intend—sometimes with harmful consequences.
At its core, AI alignment bridges the gap between what we want AI to do and what it actually does. AI doesn’t understand human values—it optimizes for what it’s trained on. A system designed to boost social media engagement, for example, might spread clickbait or misinformation because it prioritizes attention, not truth.
One challenge is that human values are complex and often subjective. Researchers use reinforcement learning from human feedback (RLHF) to guide AI by training it on preferred responses. This has been crucial in fine-tuning modern language models to be more helpful and ethical.
Another approach is constitutional AI, where systems are trained to follow a set of ethical principles. For example, an AI assistant might be programmed to refuse harmful requests or avoid biased responses. But defining rules that hold up in every situation is difficult.
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AI misalignment isn’t just theoretical—it has real consequences. Poorly aligned AI can reinforce bias, spread misinformation, or behave unpredictably. In past cases, chatbots have given misleading medical advice, not from bad intent, but because they weren’t trained to prioritize accuracy.
Some researchers explore inverse reinforcement learning (IRL), where AI learns by observing human behavior instead of relying on predefined objectives. This could help AI infer human values naturally rather than just following fixed rules.
AI alignment isn’t a one-time fix—it’s an ongoing process. As AI grows more advanced, researchers must continuously refine its goals to ensure it remains safe and beneficial. The challenge is complex, but solving it is essential for AI’s future.
Ultimately, AI isn’t just about making machines smarter—it’s about making sure they understand us. The better AI aligns with human values, the more we can trust it to improve our world instead of disrupting it.
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