Description: Zealotry, in the context of ethics and bias in artificial intelligence (AI), refers to an excessive zeal that can negatively influence decision-making within AI systems. This phenomenon manifests when developers or users of AI rigidly adhere to certain beliefs, ideologies, or approaches, which can lead to the creation of biased algorithms or misinterpretation of data. Zealotry can result in the exclusion of diverse perspectives and the promotion of solutions that are neither objective nor equitable. In the realm of AI, this is particularly concerning, as systems can perpetuate or amplify existing prejudices if not handled carefully. Ethics in AI demands a critical and reflective approach, where biases arising from zealotry are recognized and mitigated, ensuring that automated decisions are fair and representative of the diversity of society. Therefore, zealotry not only affects the quality of the outcomes generated by AI but also raises serious ethical questions about responsibility and fairness in the use of these technologies.
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