EAN: 9781484293058

Bilder-Quelle: discount24.de - Sport-Freizeit

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

Produktinformationen zuletzt aktualisiert am
03.07.2026 um 08:05 Uhr

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