The explainability of AI has transformed from a purely technical issue to a complex issue closely related to algorithmic governance and algorithmic security. The lack of explainable AI (XAI) brings adverse effects that can cross all economic classes and national borders. Despite efforts in governance, technical, and policy exchange have been made in XAI by multiple stakeholders, including the public sector, enterprises, and international organizations, respectively. XAI is still in its infancy. Future applications and corresponding regulatory instruments are still dependent on the collaborative engagement of all parties.

翻译：人工智能的可解释性已从纯粹的技术问题演变为与算法治理及算法安全密切相关的复杂议题。缺乏可解释人工智能（XAI）所产生的不利影响可能跨越所有经济阶层与国家边界。尽管公共部门、企业和国际组织等多方利益相关者已在XAI的治理、技术与政策交流方面做出努力，但XAI仍处于发展初期。未来应用及相应的监管工具仍有赖于各方的协同参与。