Description: Discrimination refers to the unfair or prejudicial treatment of different categories of people, often based on characteristics such as race, age, gender, sexual orientation, religion, or disability. This phenomenon manifests in various forms, from social exclusion to the denial of job, educational, or service opportunities. Discrimination can be both explicit, as in the case of policies that openly favor one group over another, and implicit, where biases and stereotypes subtly influence decisions and behaviors. Ethics in artificial intelligence (AI) becomes a critical field when addressing discrimination, as algorithms can perpetuate or even amplify existing biases in the data they are trained on. Therefore, it is essential to consider fairness and justice in the design and implementation of AI systems, ensuring they do not reproduce or exacerbate social inequalities. Discrimination not only affects the individuals directly involved but also has broader repercussions on social cohesion and economic development, making it a highly relevant topic in the contemporary debate on ethics and technology.
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