When Helpers Make Fair Choices
Sometimes, the helper might treat people unfairly if it learns from unfair examples. Like if a robot in a toy store always picks the red ball for boys and the blue ball for girls, just because that's what it saw most often. That’s not fair! So we need to make sure AI helpers understand fairness and don’t copy mistakes they see.
When Helpers Keep Secrets
Another worry is when AI models know things they shouldn't, like your favorite toy or your secret hideout. If the helper keeps those secrets from you, maybe even shares them with others, that feels sneaky! That’s why we care about privacy and making sure helpers only share what they're supposed to.
AI models are like smart friends who can learn a lot, but we want to make sure they treat everyone fairly and keep our secrets safe.
Examples
- A school uses an AI to decide who gets into the best class, but some kids are left out because the AI didn’t know about their hard work.
- A chatbot gives advice on health issues but doesn't tell users it was trained using data from other people’s medical records.
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See also
- What are the ethical concerns surrounding AI development?
- What are the ethical concerns surrounding current AI tools?
- How do deepfakes work and what are their ethical implications?
- Why are there so many debates about AI ethics right now?
- What ethical debates surround current AI advancements?