What are the limitations of AI?

AI has some limitations that researchers are working on. Here are the key ones: 1. Not as smart as humans: AI is specialized and can't think like humans in many situations. 2. Needs lots of data: AI requires large amounts of labeled data to learn effectively. 3. Bias and fairness issues: AI can be biased and create unfair outcomes. 4. Hard to understand: AI can be like a black box, making it tough to understand how it works. 5. Not creative: AI struggles with tasks requiring creativity and common sense. 6. Ethical concerns: AI raises ethical questions about privacy and job displacement. 7. Vulnerable to attacks: AI can be tricked by adversarial inputs. 8. Requires lots of computing power: Training AI models needs a lot of computational resources. 9. Lacks real-world understanding: AI may produce plausible but incorrect answers. 10. No emotional intelligence: AI can't understand human emotions properly. Despite these limitations, ongoing research is improving AI technology. Responsible development is crucial to manage its impact on society.