Fair AI is a concept that emphasizes the development and deployment of artificial intelligence systems that are designed to be equitable, unbiased, and non-discriminatory. It aims to ensure that AI algorithms and models treat all individuals fairly, regardless of their race, gender, age, socioeconomic status, or other protected characteristics. The goal of fair AI is to mitigate the potential for AI systems to perpetuate or amplify existing societal biases and disparities. This involves implementing techniques such as bias detection, data diversification, and algorithmic fairness metrics throughout the AI development lifecycle. Fair AI also encompasses the notion of transparency and explainability, allowing users to understand how AI systems make decisions and enabling them to challenge or appeal those decisions when necessary. Additionally, fair AI considers the broader societal implications of AI deployment, striving to ensure that the benefits of AI are distributed equitably and that AI systems do not exacerbate existing power imbalances or social inequalities. Achieving fair AI requires ongoing research, collaboration between AI developers and domain experts, and the establishment of ethical guidelines and regulatory frameworks to govern the responsible development and use of AI technologies.
Bias mitigation, algorithmic fairness, transparency, explainability, ethical AI
CITATION : "Robert Anderson. 'Fair AI.' Design+Encyclopedia. https://design-encyclopedia.com/?E=432027 (Accessed on June 09, 2025)"
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