Towards a Roadmap on Software Engineering for Responsible AI
March 09, 2022 Β· Declared Dead Β· π 2022 IEEE/ACM 1st International Conference on AI Engineering β Software Engineering for AI (CAIN)
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Authors
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
arXiv ID
2203.08594
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
72
Venue
2022 IEEE/ACM 1st International Conference on AI Engineering β Software Engineering for AI (CAIN)
Last Checked
3 months ago
Abstract
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.
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