With the recent proliferation of artificial intelligence systems, there has been a surge in the demand for explainability of these systems. Explanations help to reduce system opacity, support transparency, and increase stakeholder trust. In this position paper, we discuss synergies between requirements engineering (RE) and Explainable AI (XAI). We highlight challenges in the field of XAI, and propose a framework and research directions on how RE practices can help to mitigate these challenges.
翻译:随着最近人工智能系统的扩散,对这些系统的解释性的需求激增。 解释有助于减少系统不透明性、支持透明度和增加利益攸关方的信任。 在本立场文件中,我们讨论了要求工程(RE)和可解释的AI(XAI)之间的协同作用。 我们强调了XAI领域的挑战,并就可再生能源做法如何帮助缓解这些挑战提出了框架和研究方向。