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最新文章

• Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information AI翻译
  作者：Fu, Zuyue; Qi, Zhengling; Yang, Zhuoran; Wang, Zhaoran; Wang, Lan
  作者单位：Northwestern University; George Washington University; Yale University; University of Miami
  摘要：Motivated by the human-machine interaction such as recommending videos for improving customer engagement, we study human-guided human-machine interaction for decision making with private information. We model this interaction as a two-player turnbased game, where one player (Bob, a human) guides the other player (Alice, a machine) toward a common goal. Specifically, we focus on offline reinforcement learning (RL) in this game, where the goal is to find a policy pair for Alice and Bob that maxi...
• Using AI and Behavioral Finance to Cope with Limited Attention and Reduce Overdraft Fees AI翻译
  作者：Ben-David, Daniel; Mintz, Ido; Sade, Orly
  作者单位：Hebrew University of Jerusalem; Intuit Inc.
  摘要：We test how effective a human-algorithm interaction is at stopping users from overdrawing their bank accounts. We use a randomized field experiment and draw our sample from users of a large personal financial management platform operating in the United States and Canada. We find that sending as-needed reminders is effective in and of itself, and the impact is intensified by the human response to the structure of the message. More simple messages are more effective, and the framing of the simpl...
• Introduction to the Special Issue on the Human-Algorithm Connection AI翻译
  作者：Caro, Felipe; Colliard, Jean-Edouard; Katok, Elena; Ockenfels, Axel; Stier-Moses, Nicolas; Tucker, Catherine; Wu, D. J.
  作者单位：University of California System; University of California Los Angeles; Hautes Etudes Commerciales (HEC) Paris; University of Cologne; University of Cologne; Max Planck Society; Massachusetts Institute of Technology (MIT); University System of Georgia; Georgia Institute of Technology
• Speaking in Private: Privacy Expectations Depend on Communication Modality AI翻译
  作者：Melzner, Johann; Bonezzi, Andrea; Meyvis, Tom
  摘要：Consumers disclose personal information when they interact with connected technologies. The advent of voice technology has enabled consumers to interact with connected technologies not only through typing but also through speaking. The present research investigates whether consumers expect different levels of privacy for information they disclose via different communication modalities. The results of three studies suggest that consumers have more restrictive privacy expectations for informatio...
• Behavioral Externalities of Process Automation AI翻译
  作者：Beer, Ruth; Qi, Anyan; Rios, Ignacio
  作者单位：City University of New York (CUNY) System; Baruch College (CUNY); University of Texas System; University of Texas Dallas
  摘要：We study the behavioral effects of process automation on human workers interacting with automated tasks. We introduce a stylized normative model with two workers who complete their tasks sequentially, working toward a joint project to obtain a fixed payment plus a variable bonus that depends on how early the project is completed. The normative model prescribes that, if workers are fully rational, they will complete their tasks as soon as possible if the early completion bonus is high enough. H...
• Human-Centered Artificial Intelligence: A Field Experiment AI翻译
  作者：Krakowski, Sebastian; Haftor, Darek; Luger, Johannes; Pashkevich, Natallia; Raisch, Sebastian
  作者单位：Stockholm School of Economics; Uppsala University; University of Zurich; Sodertorn University; University of Geneva
  摘要：Humans and artificial intelligence (AI) algorithms increasingly interact on unstructured managerial tasks. We propose that tailoring this human-AI interaction to align with individuals' cognitive preferences is essential for enhancing performance. This hypothesis is examined through a field experiment in a multinational pharmaceutical firm. In the experiment, we manipulated four contextual parameters of human-AI interaction-work procedures, decision-making authority, training, and incentives-t...
• Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules AI翻译
  作者：Delarue, Arthur; Lian, Zhen; Martin, Sebastien
  作者单位：University of Virginia; Yale University; Northwestern University
  摘要：In collaboration with the San Francisco Unified School District (SFUSD), this paper introduces an interactive optimization framework to tackle complex school scheduling challenges. The choice of school start and end times is an optimization challenge, as schedules influence the district's transportation system, and limiting the associated costs is a computationally difficult combinatorial problem. However, it is also a policy challenge, as transportation costs are far from the only consequence...
• Humans' Use of AI Assistance: The Effect of Loss Aversion on Willingness to Delegate Decisions AI翻译
  作者：Bockstedt, Jesse C.; Buckman, Joseph R.
  作者单位：Emory University; University System of Georgia; Georgia State University
  摘要：As artificial intelligence (AI) tools have become pervasive in business applications, so too have interactions between AI and humans in business processes and decisionmaking. A growing area of research has focused on human decision and task delegation to AI assistants. Simultaneously, extensive research on algorithm aversion-humans' resistance to algorithm-based decision tools-has demonstrated potential barriers and issues with AI applications in business. In this paper, we test a simple strat...
• Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study AI翻译
  作者：Greiner, Ben; Gruenwald, Philipp; Lindner, Thomas; Lintner, Georg; Wiernsperger, Martin
  作者单位：Vienna University of Economics & Business; University of New South Wales Sydney; Vienna University of Economics & Business; Vienna University of Economics & Business; University of Innsbruck; Copenhagen Business School; Cornell University
  摘要：Managerial decision makers are increasingly supported by advanced data analytics and other artificial intelligence (AI)-based technologies, but they are often found to be hesitant to follow the algorithmic advice. We examine how compensation contract design and framing of an AI algorithm influence decision makers' reliance on algorithmic advice and performance in a price estimation task. Based on a large sample of almost 1,500 participants, we find that compared with a fixed compensation, both...
• Profit Implications of Judgmental Adjustments to Forecast Inputs: Evidence from a Large-Scale Field Experiment AI翻译
  作者：Kesavan, Saravanan; Kushwaha, Tarun; Steele, Dayton
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of Wisconsin System; University of Wisconsin Madison; University of Minnesota System; University of Minnesota Twin Cities
  摘要：In this paper, we report the results from a large-scale field experiment at a spare parts retail chain that considers whether allowing merchants to override forecast inputs to an inventory algorithm improves profits. Although the judgmental forecasting literature has studied extensively whether judgmental adjustments improve forecast performance, causal empirical evidence is missing in regard to whether judgmental adjustments improve bottom-line profits. Our results show that judgmental adjust...