Believing AI is sentient leads to false expectations—some may trust AI’s recommendations without skepticism, assuming they are the result of independent reasoning rather than probabilistic predictions. In policy discussions, regulators struggle with defining AI responsibility, misplacing ethical accountability onto models instead of the humans who deploy them. The danger is not AI itself but how we perceive and integrate it into decision-making, security, and governance.

‼️ Don’t Be Like Everyone Else:

🧠 Understand AI’s Limitations – It predicts and mimics, but it does not think. Recognizing this distinction helps avoid misinterpretation.

📖 Stay Informed on AI Ethics and Policy – Governments are trying to regulate AI’s role, but misconceptions could shape flawed laws.

🔨 Use AI as a Tool, Not a Decision-Maker – It can enhance productivity, but critical thinking must always come first.

The future belongs to those who understand AI for what it is—not what sci-fi wants it to be. Whether you’re a student, a professional, or a policymaker, mastering AI’s true capabilities is no longer optional—it’s a necessity.

This was originally posted on LinkedIn on May 30, 2025.