Description
Data, Systems, and Society provides an essential framework for understanding how artificial intelligence can be harnessed to address complex societal challenges. Munther A. Dahleh explores the technical foundations of AI systems while examining their broader implications for society, ethics, and governance.
The book covers critical topics including data collection and privacy, algorithmic decision-making, fairness and bias in AI systems, and the importance of transparency and accountability. It bridges the gap between computer scientists, policymakers, and social scientists, offering practical insights for developing AI solutions that benefit society while minimizing potential harms.
Essential reading for anyone involved in AI development, implementation, or policy, this work emphasizes that technology’s impact depends not just on innovation, but on thoughtful consideration of human values and societal needs.







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