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...
| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
|
| Edition: | 1st ed. 2023 |
| Series: | Studies in Computational Intelligence
|
| Subjects: | |
| 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