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Table of Contents
Abstract - Introduction - Methods - Analysis and Discussion
Summary
The document discusses the challenges and importance of implementing responsible AI systems, focusing on ethical aspects such as accountability, reliability, transparency, explainability, contestability, privacy, and fairness. It presents findings from interviews with AI practitioners and emphasizes the need for practical methods to translate high-level ethics principles into practice. The study highlights the overlap between AI ethics and computer ethics, and the unique considerations in AI system development. Trust, risk assessment, credentials, and system-level development tools are key aspects addressed. The document also delves into requirements engineering, ethics requirements, responsibility scope, design and implementation considerations, incorporation of AI, and trade-offs between different ethics principles.