December 2024
Intermediate to advanced
336 pages
10h 29m
English
This chapter discusses the ethical challenges in artificial intelligence (AI) and machine learning (ML), focusing on the development of algorithms for fairness and bias reduction. It also defines the balance between power and responsibility in quantum computing, especially in the context of privacy. By the end of this chapter, you will be able to
Understand the Ethical Considerations in AI Agents: Grasp the ethical issues inherent in AI technology, including the risks and implications of bias and unfairness in AI algorithms.
Explore Algorithms for Fairness in AI Agents: Learn about developing and implementing AI algorithms that promote fairness and reduce bias, and understand their importance in creating ...
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