Post 2: Ai Ethics

AI feels like something that is just helping us, but the more I learn, the more I realized it can actually cause real problems if we were not paying attention. The concern I focused on is bias in AI, like how it can treat people differently based on race or the gender.

The most surprising thing I learned was how facial recognition systems are a lot less accurate for darker-skinned women compared to lighter skinned men. That is a mistake that can affect real life situations like criminal activity, job hiring, or security decisions. It made me realize that AI isn’t neutral but its trained on data created by humans. and if that data has any bias, the AI will reflect it.

Another thing is how important prompting is. If you ask a vague question, you get back a basic answer, but if you are specific and ask for multiple perspectives and answers, the responses are a lot better. I wouldn’t fully rely on AI for anything really important without checking it first because it can still sound confident even though it is wrong.

Overall, AI is useful and powerful, but it is not perfect. If we don’t question it, we could end up trusting systems that reinforce the same problems that we are trying to fix.

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