Ethics in AI means using AI in a way that is fair, honest, and safe for everyone. Since AI can make decisions, it is important to make sure those decisions do not hurt people or treat anyone unfairly. For example, if an AI system gives better service to one group of people and ignores others, it is not fair. AI should be developed with care, keeping in mind fairness, safety, and respect for human rights.
TIDBIT
AI can be unfair if not designed properly that's why developers must think about what's right and wrong.
7.5.1 Bias in AI and Algorithms
Bias in AI happens when the system gives unfair results because of the data it was trained on. If the data only represents one group of people, the AI may not understand or treat other groups fairly. For example, a face recognition tool may not work well for all skin colors if it was trained mostly on images of only one type. This shows that data should include different people, languages, and situations. Removing bias is a big step toward making AI more fair and helpful for all.
ACTIVITY
"Same Input, Different Output?" GameStudents are given a pretend AI that gives random or unfair results based on the name, color, or gender of users. They analyze whether this is fair and how real- life AI systems can become biased if not designed carefully.
7.5.2 Fairness and Transparency in AI
Fairness in AI means that the system should treat all users equally, no matter their race, gender, age, or background. This is important in systems that make decisions about input Human Rights school admissions, job interviews, or legal cases. To ensure fairness, AI must be trained on data that includes all related types of people and situations.