兰德公司2024人工智能项目失败的五大根本原因及其成功之道-避免AI的反模式英文版20页

JAMES RYSEFF, BRANDON DE BRUHL, SYDNE J. NEWBERRYThe Root Causes of Failure for Artificial Intelligence Projects and How They Can SucceedAvoiding the Anti-Patterns of AIArtificial intelligence (AI) is widely recognized as technology with the potential to have a transformative effect on organizations.1 Although AI was once reserved for advanced tech-nology companies with the ability to hire top talent and spend millions of dollars, all types of organizations are adopting AI today. Private-sector investment in AI increased 18-fold from 2013 to 2022,2 and one survey found that 58 percent of midsize corporations3 had deployed at least one AI model to production.4 Similarly, the U.S. Department of Defense (DoD) is spending $1.8 billion each year on military applications for AI, and DoD leaders have identified AI as one of the most crucial technologies to the future of warfare.5AI is already making impacts across a wide variety of industries. Pharmaceutical companies are using it to accelera