在风险融资中导航人工智能的决策格局:揭示了技术问责制
Helmi Issa1, Roy Dakroub2, Hussein Lakkis3
1CEREN EA 7477, Burgundy School of Business, Universite Bourgogne Franche-Comte, Dijon, France.
概括
人工智能 (AI) 集成对金融专业人士造成压力. 这项研究确定了技术问责是管理人工智能风险和改进故障分析的关键.
科学领域:
- 信息系统信息系统信息系统
- 组织行为 组织行为
- 风险管理 风险管理
背景情况:
- 人工智能 (AI) 集成正在改变具有先进能力的行业,但由于其不可预测性质,引起了人们的担忧.
- 人工智能在金融领域的应用对应新技术压力因素的专业人士提出了独特的挑战.
- 了解人工智能对金融专家的心理影响对于有效采用和降低风险至关重要.
研究的目的:
- 实证地研究六种技术压力因素 (技术压力因素) 对金融专业人员的技术压力和技术压力的影响.
- 确定影响金融专家因人工智能集成而遭受压力的关键因素.
- 为AI驱动的创新提出风险分析框架的改进建议.
主要方法:
- 利用交易压力模型来框架调查.
- 通过电子调查收集数据,分发给251名金融专业人士和专家.
- 采用定量分析来评估技术压力,技术压力和技术压力之间的关系.
主要成果:
- 确定了六种不同的技术压力影响金融专业人士.
- 发现技术压力对正面 (技术压力) 和负面 (技术压力) 压力都有显著影响.
- 开发和验证技术问责制作为管理人工智能相关压力的关键因素.
结论:
- 与人工智能集成相关的技术压力显著影响金融专业人员的福祉.
- 技术问责制成为缓解负面压力的重要构造,并增强人工智能采用中的积极压力.
- 该研究的结果增强了人工智能驱动创新的故障模式和效应分析 (FMEA) 框架,改善了金融部门的风险分析.
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