What are some common misconceptions about [a topic you're passionate about]?

One topic I'm passionate about is artificial intelligence and machine learning. Here are some common misconceptions about AI and ML:

1. **AI will replace humans entirely**: While AI has the potential to automate certain tasks and jobs, it's unlikely to completely replace humans in most fields. Instead, AI is more likely to augment human capabilities, making certain tasks easier and freeing up time for more creative or strategic work.

2. **AI is all-knowing and infallible**: AI systems are only as good as the data they're trained on and the algorithms used to process that data. They can make mistakes, especially in situations they haven't been trained for or when faced with biased or incomplete data.

3. **AI is only for big tech companies**: While companies like Google and Facebook have made significant investments in AI, the technology is becoming increasingly accessible to smaller businesses and even individuals. There are many open-source AI tools and libraries available, and cloud platforms offer AI services that can be easily integrated into applications.

4. **AI will solve all our problems**: While AI has the potential to address many challenges, it's not a magic bullet. Like any tool, its effectiveness depends on how it's used and the context in which it's deployed. It's important to consider ethical, social, and economic implications when developing and deploying AI systems.

5. **AI is only for experts**: While there is a need for experts in AI and ML, there are also many resources available for beginners to learn the basics. Online courses, tutorials, and communities make it easier than ever for people with diverse backgrounds to get started with AI and ML.

By dispelling these misconceptions, we can have more informed discussions about the opportunities and challenges presented by AI and ML.