Succinctly® Series On The Go
Understanding AI ethics is no longer a niche concern, but a core competency and responsibility for developers, essential for mitigating legal, reputational, and human risks. Ethical AI for Developers Succinctly® serves as a practical guide to selecting data and configuring models ethically. Ed Freitas offers a focused, technical perspective on building AI systems that are not only functional but also fair, transparent, accountable—and above all, approachable.
-
Ethical Foundations
-
Core Ethical Principles
-
The AI Development Lifecycle and Ethics
-
Identifying and Measuring Algorithmic Bias
-
Mitigating Bias: Ethical Coding Practices
-
Anti-Ethical Practice: Deliberate Bias Injection
-
Understanding Model Decisions: The XAI Toolkit
-
Implementing Ethical XAI in Production
-
Anti-Ethical Practice: Obfuscation and Black Box Design
-
Data Privacy: Differential Privacy and Anonymization
-
Model Security: Robustness and Adversarial Attacks
-
Anti-Ethical Practice: Data Leakage and Insecure Models
-
The Ethical AI Developer’s Toolkit and Future
Author
ISBN
978-1-64200-255-3
Published on
August 19, 2026
Pages
103
Category
Tags
Type
Search more than 200 Ebooks
Looking for something specific? Try our title or author search.