Sipior Janice C
Accounting & Information Systems Department, Villanova School of Business, Villanova University, Villanova, PA, USA.
Int J Inf Manage. 2020 Dec;55:102170. doi: 10.1016/j.ijinfomgt.2020.102170. Epub 2020 Jun 9.
Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions quicker than we would otherwise achieve in many fields and applications. Since the outbreak of the pandemic, there has been an upsurge in the exploration and use of AI, and other data analytic tools, in a multitude of areas. This paper addresses some of the many considerations for managing the development and deployment of AI applications, including planning; unpredictable, unexpected, or biased results; repurposing; the importance of data; and diversity in AI team membership. We provide implications for research and for practice, according to each of the considerations. Finally we conclude that we need to plan and carefully consider the issues associated with the development and use of AI as we look for quick solutions.
人工智能(AI)在抗击新冠疫情中发挥着关键的支持作用,并且在许多领域和应用中,它或许能比我们靠其他方式更快地促成问题的解决。自疫情爆发以来,人工智能及其他数据分析工具在众多领域的探索和应用急剧增加。本文探讨了管理人工智能应用开发与部署时需考虑的诸多因素,包括规划;不可预测、意外或有偏差的结果;重新利用;数据的重要性;以及人工智能团队成员的多样性。我们根据各项因素给出了对研究和实践的启示。最后我们得出结论,在寻求快速解决方案时,我们需要对与人工智能开发和使用相关的问题进行规划并仔细考量。