<ul><li>Developers must prioritize fairness in AI models by ensuring diverse and representative datasets, implementing bias detection mechanisms, and conducting regular audits.</li><li>Privacy and data security concerns arise due to AI's reliance on personal data. Strict regulations and transparency are necessary to protect individuals' information.</li><li>Accountability and transparency in AI systems need to be improved to understand and challenge AI-driven decisions effectively.</li><li>Job displacement and economic impact need to be addressed through reskilling programs and policies to mitigate the disruption caused by AI-driven automation.</li></ul>

The Ethical Challenges of AI and Machine Learning

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