Towards a Roadmap on Software Engineering for Responsible AI
It addresses the gap between high-level ethical principles and practical implementation in AI systems, which is crucial for developers and organizations aiming to build responsible AI.
This paper tackles the problem of operationalizing responsible AI by developing a roadmap that focuses on multi-level governance, development processes, and system-level architectural designs to integrate responsible practices into AI systems.
Although AI is transforming the world, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, principles, and frameworks for responsible AI have been issued recently. However, they are high level and difficult to put into practice. On the other hand, most AI researchers focus on algorithmic solutions, while the responsible AI challenges actually crosscut the entire engineering lifecycle and components of AI systems. To close the gap in operationalizing responsible AI, this paper aims to develop a roadmap on software engineering for responsible AI. The roadmap focuses on (i) establishing multi-level governance for responsible AI systems, (ii) setting up the development processes incorporating process-oriented practices for responsible AI systems, and (iii) building responsible-AI-by-design into AI systems through system-level architectural style, patterns and techniques.