BIAS IN AI: LEGAL STANDARDS AND MANAGEMENT METHODS

Abstract

Bias in artificial intelligence (AI) is becoming an important and necessary issue to be seriously considered in the development and application of intelligent systems. With the rise of AI in many fields from healthcare, education, finance to law, the possibility of social, cultural, and technical biases hidden in AI systems causing significant consequences cannot be ignored. Bias in AI is not simply a technical issue but also poses a major challenge to fairness, transparency, and protection of human rights, especially in the context of AI applications increasingly dominating important decisions in society. This article will focus on analyzing theoretical and practical aspects related to bias in AI, current regulations and legal standards, and methods of managing and minimizing bias in the process of deploying and applying AI.