As artificial intelligence (AI) continues to shape the future of technology, its rapid integration into various aspects of society brings with it significant ethical considerations. Machine learning (ML), a core component of AI, has the power to transform industries, enhance productivity, and solve complex problems. However, without proper safeguards, machine learning models can also perpetuate biases, compromise privacy, and lack transparency, raising important ethical questions. Addressing these issues is critical to ensuring that AI systems benefit society while minimizing harm.
AI Ethics: Addressing Bias, Privacy, and Transparency in Machine Learning Models
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