ETHICAL AI: DEVELOPING RESPONSIBLE AND TRANSPARENT MACHINE LEARNING MODELS FOR REAL-WORLD APPLICATIONS
Keywords:
Ethical AI, Fairness In AI, AI Transparency, AI Accountability, Privacy In AI, Bias Mitigation, Responsible AI Development, AI Ethics Principles, Explainable AI (XAI)Abstract
AI technologies have rapidly advanced, bringing transformative changes to various industries and aspects of daily life. However, the rise of AI has also raised significant ethical concerns regarding fairness, transparency, accountability, and privacy. This chapter delves into the development of responsible and transparent machine learning models, emphasizing the importance of ethical considerations in real-world applications.
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