Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

£20.90

This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust.
The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers. 

What You Will Learn

  • Build AI/ML models using Responsible AI frameworks and processes
  • Document information on your datasets and improve data quality
  • Measure fairness metrics in ML models
  • Identify harms and risks per task and run safety evaluations on ML models
  • Create transparent AI/ML models
  • Develop Responsible AI principles and organizational guidelines

Who This Book Is For
AI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms

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EAN: 2000000363745 SKU: 068CDB13 Category:

Additional information

Publisher

Apress (16 Aug. 2023)

Language

English

File size

1290 KB

Text-to-Speech

Enabled

Screen Reader

Supported

Enhanced typesetting

Enabled

X-Ray

Not Enabled

Word Wise

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Sticky notes

On Kindle Scribe

Print length

210 pages

Average Rating

5.00

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    by Kindle Customer

    A must read for all people engaged with AI. Givi g clear frameworks on how to ensuring the keep ethics to the forefront

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Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness