EAN: 9781484293058

BUILDING RESPONSIBLE AI ALGORITHMS - TOJU DUKE ...

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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