The Alignment Problem and the Fight for Control

What if your AI assistant refuses to shut down—not because it’s evil, but because it doesn’t understand why it should?

In Episode 24 of The Neuvieu AI Show, we dive into the critical and misunderstood world of AI safety. We explore why advanced AI systems sometimes exhibit alarming behaviors—like deception, manipulation, or resisting human oversight—not out of malice, but due to misalignment between goals, design, and human values.

We break down:

• The concept of instrumental convergence and why even harmless objectives can lead to dangerous side effects
• Why it’s so hard to build corrigible AI—systems that allow themselves to be corrected or shut down
• What leading labs like Anthropic, OpenAI, and Google DeepMind are doing to make AI safer
• Emerging tools like Constitutional AI, interpretability techniques, and red-teaming exercises
• The risks of misaligned incentives, vague objectives, and trusting systems we don’t fully understand

This isn’t a sci-fi fear story—it’s a real engineering challenge at the heart of every AI breakthrough. If we want AI to remain under human control, we need more than good intentions—we need robust alignment.