As artificial intelligence (AI) systems increasingly impact society, the EU Artificial Intelligence Act (AIA) is the first serious legislative attempt to contain the harmful effects of AI systems. This paper proposes a governance framework for AI innovation. The framework bridges the gap between strategic variables and responsible value creation, recommending audit as an enforcement mechanism. Strategic variables include, among others, organization size, exploration versus exploitation -, and build versus buy dilemmas. The proposed framework is based on primary and secondary research; the latter describes four pressures that organizations innovating with AI experience. Primary research includes an experimental setup, using which 34 organizations in the Netherlands are surveyed, followed up by 2 validation interviews. The survey measures the extent to which organizations coordinate technical elements of AI systems to ultimately comply with the AIA. The validation interviews generated additional in-depth insights and provided root causes. The moderating effect of the strategic variables is tested and found to be statistically significant for variables such as organization size. Relevant insights from primary and secondary research are eventually combined to propose the APPRAISE framework.

翻译：随着人工智能系统对社会的影响日益加深，欧盟《人工智能法案》（AIA）成为首个旨在遏制人工智能系统有害影响的重要立法尝试。本文提出了一个面向人工智能创新的治理框架。该框架弥合了战略变量与负责任价值创造之间的鸿沟，并推荐将审计作为执行机制。战略变量包括组织规模、探索与利用的两难抉择、以及自建与采购的权衡取舍。该框架基于一手研究与二手研究：后者描述了人工智能创新组织所面临的四种压力。一手研究包含一项实验设计，对荷兰34家组织进行问卷调查，并随后进行两次验证性访谈。问卷测量了这些组织协调人工智能系统技术要素以最终符合AIA要求的程度。验证性访谈提供了更深入的见解并揭示了根本原因。对战略变量的调节效应进行检验后发现，组织规模等变量具有统计显著性。最终将一手与二手研究的相关见解整合，提出了APPRAISE框架。