Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and …
This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine …
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of …
“Trade is the lifeblood of the global economy, but few would consider it a social good. Instead, our views on …
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the …
Ethical Issues in Accounting offers a comprehensive and accessible introduction for students and teachers of business studies and accountancy as …
This text argues, from a liberal perspective, for a radical re-interpretation of existing ideas concerning social justice. Since the 1980s …
Since it appeared in 1971, John Rawls's A Theory of Justice has become a classic. The author has now revised …
In Game Theory and the Social Contract, Ken Binmore argues that game theory provides a systematic tool for investigating ethical …
Fair Division, unlike most research on fairness in the social sciences and mathematics, is devoted solely to the analysis of …
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature …
