AI Accountability in Practice
AI Accountability in Practice program addresses the issue of responsibility in AI systems. Learn about accountability challenges, models, and practical strategies for ensuring responsible AI development and use.
AI Ethics and Governance in Practice
AI Ethics and Governance in Practice is a program that equips project teams with knowledge and tools for responsible AI development. It emphasizes integrating ethics throughout the AI lifecycle using the Process Based Governance (PBG) Framework. Learn key considerations, gain practical skills, and ensure trustworthy AI implementation.
AI Explainability in Practice
AI Explainability in Practice program focuses on the importance of transparency in AI systems and provides strategies for building explainable AI. Learn about different approaches, benefits, and best practices for designing and communicating AI decisions.
AI Fairness in Practice
AI Fairness in Practice program addresses the challenge of fairness in AI systems, providing tools and strategies for unbiased development. Learn about bias mitigation, inclusive design, and evaluating fairness in AI.
AI Safety in Practice
AI Safety in Practice program addresses the need for safe and reliable AI systems. Learn about potential risks, mitigation strategies, and ongoing monitoring for responsible AI development and deployment.
AI Sustainability in Practice
AI Sustainability in Practice series focuses on developing AI systems that are environmentally, socially, and ethically sustainable. Learn about frameworks, best practices, and integration of sustainability considerations throughout the AI workflow.
Introduction to Ada: Laboratories
This workbook complements the Introduction to Ada online textbook by providing over 150 hands-on exercises. Spanning 18 chapters, it offers a learn-by-doing approach to help readers develop practical skills in Ada programming. The exercises directly apply concepts from the Introduction to Ada tutorial, reinforcing learned topics through realistic problems. Early labs focus [...]
Responsible Data Stewardship in Practice
Responsible Data Stewardship in Practice program emphasizes ethical data management for trustworthy AI. Learn best practices for data collection, storage, and governance, ensuring responsible usage throughout the AI lifecycle.