Write a comprehensive and critically analytical essay examining the ethical, technical, and societal implications of artificial intelligence systems trained on large-scale datasets. In your response, evaluate how data collection practices, algorithm design, and model optimization techniques influence issues such as bias, fairness, transparency, and accountability. Discuss the trade-offs between model accuracy and interpretability, and analyze how black-box architecturessuch as deep neural networkscomplicate efforts to audit and regulate AI systems. To what extent can algorithmic bias be traced to historical data inequalities, and how should computer scientists address these embedded distortions without compromising system performance?
Requirements: na | C++
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