聚焦尼日利亚法律界对AI治理的看法,揭示监管短板与本地化需求
Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria
- 通过27名法律从业者访谈和焦点小组,分析AI治理痛点
- 超半数受访者担忧数据隐私风险,且缺乏可执行法律框架
- 强调需因地制宜构建治理模型,适合政策制定者参考
本研究以尼日利亚为例,探讨发展中国家法律专业人士对人工智能治理的看法。研究聚焦伦理风险、监管空白与机构准备度,采用定性案例研究设计,通过27名法律从业者半结构化访谈及7名跨金融、保险、企业法领域从业者的焦点小组讨论收集数据,运用主题分析识别关键模式。结果显示,参与者普遍关注数据隐私风险,且对现行法律框架的可执行性缺乏信心;对机构能力持保留态度,主张建立符合本地实际的治理模式,而非直接套用外国框架。尽管部分人认可AI潜力,但前提是具备强有力的法律监督与公众问责机制。研究为发展中国家AI治理提供了基于法律专业人士视角的实证洞察,强调应采取具情境适应性、包容性强的监管路径,弥合全球伦理原则与本土现实之间的鸿沟,为政策制定者、监管机构及学者提供实践参考。
原文摘要 · Abstract (English)
This study examines the perception of legal professionals on the governance of AI in developing countries, using Nigeria as a case study. The study focused on ethical risks, regulatory gaps, and institutional readiness. The study adopted a qualitative case study design. Data were collected through 27 semi-structured interviews with legal practitioners in Nigeria. A focus group discussion was also held with seven additional legal practitioners across sectors such as finance, insurance, and corporate law. Thematic analysis was employed to identify key patterns in participant responses. Findings showed that there were concerns about data privacy risks and the lack of enforceable legal frameworks. Participants expressed limited confidence in institutional capacity and emphasized the need for locally adapted governance models rather than direct adoption of foreign frameworks. While some expressed optimism about AI's potential, this was conditional on the presence of strong legal oversight and public accountability. The study contributes to the growing discourse on AI governance in developing countries by focusing on the perspectives of legal professionals. It highlights the importance of regulatory approaches that are context-specific, inclusive, and capable of bridging the gap between global ethical principles and local realities. These insights offer practical guidance for policymakers, regulators, and scholars working to shape responsible AI governance in similar environments.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。