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Trustworthy AI

A Business Guide for Navigating Trust and Ethics in AI

WSBA

Created by Wiley and Sons, Beena Ammanath

Explore how to build AI systems that are ethical, transparent, and reliable. Learn practical strategies for integrating trust and accountability into your organization's AI initiatives. Gain the confidence to address real-world challenges around fairness, privacy, and security in AI.

Wiley | Feb 2026 | 224 min

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LevelBeginner
CategoriesData Science, Ethical Considerations and Practices for Technology Professionals

What You Will Learn

You will gain a clear understanding of trustworthy AI by examining real-world examples and practical scenarios. Through actionable guidance, you will learn how to embed ethical principles into your business processes and AI systems. The focus is on helping you apply these concepts directly to your organization's AI initiatives.

Key Features

  • Identify and apply core principles for trustworthy and ethical AI systems
  • Address bias, transparency, and security challenges in real-world AI projects
  • Develop practical strategies for responsible AI governance and decision-making

Target Audience

Designed for business leaders, managers, and professionals involved in AI adoption or oversight. If you have a basic understanding of AI and want to ensure your projects are both effective and ethically sound, you will benefit from this content. It's also a great fit for those interested in technology governance or the intersection of business and ethics.

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