持续性
可持续发展
贫穷
边疆
商业智能
社会学
公共关系
经济增长
经济
业务
政治学
知识管理
计算机科学
生态学
生物
法学
作者
Margaret A. Goralski,Tay Keong Tan
标识
DOI:10.1016/j.ijme.2019.100330
摘要
Artificial intelligence (AI) is rapidly opening up a new frontier in the fields of business, corporate practices, and governmental policy. The intelligence of machines and robotics with deep learning capabilities have created profound disrupting and enabling impacts on business, governments, and society. They are also influencing the larger trends in global sustainability. As the AI revolution transforms our world, it could herald a utopian future where humanity co-exists harmoniously with machines, or portend a dystopian world filled with conflict, poverty and suffering. More immediately, would AI accelerate our progress on the United Nations (UN) Sustainable Development Goals (SDGs) or bring us further down the path toward greater economic uncertainty, environmental collapse, and social upheaval? What are some of the implications for business leadership and the education of future business leaders? This article aims to address these questions by analyzing the impacts of AI in three case studies. It draws some preliminary inferences for management education and the business of leading corporations in the midst of rapid technological and social change. This study combines the perspectives of business strategy and public policy to analyze the impacts of AI on sustainable development with a specific focus on the advancement of the SDGs. It also draws some lessons on managerial learning and leadership development for global sustainability.
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