Wall, Casey
AI, Ethical Issues and Explainability-Applied Biometrics (SpringerBriefs in Applied Sciences and Technology)
- ISBN 13:
- 9789811939341
- author:
- Wall, Casey
- format:
- Paperback
- publisher:
- Springer Verlag, Singapore
- language:
- English
- Publication Year:
- 2022
- Pages:
- 55
- Dimensions:
- 0.5 x 15.5 x 15.5 centimetres (0
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
AI has made significant contributions to biometrics, but to make AI solutions commercially viable, trustworthy and explainable AI (XAI) solutions are needed while respecting ethical issues. This book aims to revisit ethical AI principles in the context of state-of-the-art AI-guided tools and their responsibilities.
It explores how research communities can effectively integrate computational expertise, addressing complex global security challenges that threaten our understanding and disruption of illicit economies. By examining explainability and ethical issues, this book helps combat these challenges.
The long-term goal is to enhance research communities by connecting computational expertise with responsible AI practices.
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