Ethics in Artificial Intelligence: Bias, Fairness and Beyond

This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theo...

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Bibliographic Details
Other Authors: Mukherjee, Animesh (Editor), Kulshrestha, Juhi (Editor), Chakraborty, Abhijnan (Editor), Kumar, Srijan (Editor)
Format: eBook
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Making Socially Sustainable and Ethical AI Systems: Integrating Impact Assessment in the Co-Design Approach
  • Discrimination in Advertising and Personalization
  • Biases and Ethical Considerations in ML Pipelines In The Computational Social Sciences
  • Operationalizing Fairness
  • Achieving Group and Individual Fairness in Clustering Algorithms
  • Fair Allocation of Structured Set Systems
  • Algorithmic Fairness for Decisions Across Time
  • Algorithmic Fairness in Multi-stakeholder Platforms
  • Fairness Testing, Debugging and Repairing
  • Interpretability of Machine Learning Models