Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures

IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Katherine C. Kellogg , Hila Lifshitz , Steven Randazzo , Ethan Mollick , Fabrizio Dell'Acqua , Edward McFowland III , François Candelon , Karim R. Lakhani
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Abstract

Historically, junior professionals have mentored senior professionals around new technologies, because juniors are typically more willing than seniors to perform lower-level tasks to learn new skills, better able than seniors to engage in real-time experimentation close to the work itself, and more willing than seniors to learn innovative methods that conflict with traditional identities and norms. However, we know little about what happens when emerging technologies have a high level of uncertainty in their use, because they have wide-ranging capabilities and are exponentially changing. With the rise of Artificial Intelligence, specifically learning algorithms and LLMs, such contexts may be increasingly common. In our study conducted with the Boston Consulting Group, a global management consulting firm, we interviewed 78 junior consultants in July–August 2023 who had recently participated in a field experiment that gave them access for the first time to generative AI (GPT-4) for a strategic business problem solving task. Drawing from junior professionals' in situ reflections soon after the experiment, we found that junior professionals may fail to manage risks around uncertain emerging technologies because juniors are likely to recommend three kinds of novice risk work tactics that: 1) are grounded in a lack of deep understanding of technologies that have uncertain and wide-ranging capabilities and are changing exponentially, 2) focus on change to human routines rather than system design, and 3) focus on interventions at the project-level rather than system deployer- or ecosystem-level. The implications of novice risk work are that, when junior professionals are expected to be a source of expertise in the use of uncertain, emerging technologies, this can lead to learning failures. This study contributes to our understanding of occupational learning around emerging technologies, risk work in organizations, and human-computer interaction.
新手风险工作:初中生如何指导高年级学生学习新兴技术,如生成式人工智能,可能导致学习失败
从历史上看,初级专业人员会在新技术方面指导高级专业人员,因为初级专业人员通常比老年人更愿意执行较低层次的任务来学习新技能,比老年人更能参与接近工作本身的实时实验,比老年人更愿意学习与传统身份和规范相冲突的创新方法。然而,当新兴技术在使用中具有高度不确定性时会发生什么,我们知之甚少,因为它们具有广泛的功能并且呈指数级变化。随着人工智能的兴起,特别是学习算法和法学硕士的兴起,这种情况可能会越来越普遍。在我们与波士顿咨询集团(一家全球管理咨询公司)进行的研究中,我们在2023年7月至8月采访了78名初级顾问,他们最近参加了一项现场实验,该实验使他们首次使用生成式人工智能(GPT-4)来解决战略业务问题。从初级专业人员在实验后的现场反思中,我们发现初级专业人员可能无法管理不确定新兴技术的风险,因为初级专业人员可能会推荐三种新手风险工作策略:1)基于缺乏对技术的深刻理解,这些技术具有不确定性和广泛的能力,并且正在呈指数级变化;2)关注对人类常规的改变,而不是系统设计;3)关注项目级别的干预,而不是系统部署者或生态系统级别的干预。新手风险工作的含义是,当初级专业人员被期望成为使用不确定的新兴技术的专业知识来源时,这可能导致学习失败。本研究有助于我们理解围绕新兴技术、组织风险工作和人机交互的职业学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.20
自引率
1.60%
发文量
18
期刊介绍: Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Information technologies are implicated in all industries and in public as well as private enterprises. Understanding the relationships between information technologies and social organization is an increasingly important and urgent social and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original scholarly articles on the relationships between information technologies and social organization. It seeks a scholarly understanding that is based on empirical research and relevant theory.
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