Responsible AI: Best Practices for Creating Trustworthy AI Systems
AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility.
Patterns For Trustworthy Development Who Is Responsible Read This Book Thought Experimentrobbie Key Concepts Pattern Oriented Approach
Source: informit.com