Managing artificial intelligence

Deep learning

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Reinforcement Learning: An Introduction

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The Theory of Economic Development

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Artificial intelligence: a modern approach

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Generative Adversarial Nets

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High-performance medicine: the convergence of human and artificial intelligence

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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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I.—COMPUTING MACHINERY AND INTELLIGENCE

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The future of employment: How susceptible are jobs to computerisation?

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Economy and Society: An Outline of Interpretive Sociology

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Business intelligence and analytics: from big data to big impact

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The global landscape of AI ethics guidelines

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Explanation in artificial intelligence: Insights from the social sciences

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AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

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Human trust in artificial intelligence: Review of empirical research

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How artificial intelligence will change the future of marketing

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Artificial Intelligence and Management: The Automation–Augmentation Paradox

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Algorithms at Work: The New Contested Terrain of Control

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10 Sociomateriality: Challenging the Separation of Technology, Work and Organization

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The new science of management decision.

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Perspective Making and Perspective Taking in Communities of Knowing

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XAI—Explainable artificial intelligence

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Man-Computer Symbiosis

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When Flexible Routines Meet Flexible Technologies: Affordance, Constraint, and the Imbrication of Human and Material Agencies1

Leonardi, P. M. (2011) · MIS Quarterly · doi:10.2307/23043493 · Cited by 1,889 · see citing works

Can we open the black box of AI?

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Fintech: Ecosystem, business models, investment decisions, and challenges

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Plans and Situated Actions: The Problem of Human Machine Communication.

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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

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Machine behaviour

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Explainable AI: From black box to glass box

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That's Interesting!: Towards a Phenomenology of Sociology and a Sociology of Phenomenology

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A formal theory of inductive inference. Part I

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What can machine learning do? Workforce implications

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Organizational Decision-Making Structures in the Age of Artificial Intelligence

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Max Weber's Types of Rationality: Cornerstones for the Analysis of Rationalization Processes in History

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Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI

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Making work visible

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Working and organizing in the age of the learning algorithm

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Innovation and Design in the Age of Artificial Intelligence

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Real-Time Motion Planning for Agile Autonomous Vehicles

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Computing in Everyday Life: A Call for Research on Experiential Computing1

Yoo, Y. (2010) · MIS Quarterly · doi:10.2307/20721425 · Cited by 815 · see citing works

The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

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Social Analyses of Computing: Theoretical Perspectives in Recent Empirical Research

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Untitled work

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Ethical Implications and Accountability of Algorithms

Martin, K. (2019) · Journal of Business Ethics · doi:10.1007/s10551-018-3921-3 · Cited by 757 · see citing works

Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems

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Computational intelligence: a logical approach

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Robotic Process Automation

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Theoretical foundations for the study of sociomateriality

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Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing

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Computing as a discipline

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The Sociotechnical Axis of Cohesion for the is Discipline: Its Historical Legacy and its Continued Relevance1

Sarker, S., Chatterjee, S., Xiao, X., & Elbanna, A. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13747 · Cited by 576 · see citing works

Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control

Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15333 · Cited by 554 · see citing works

Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice1

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Humans and Technology: Forms of Conjoined Agency in Organizations

Murray, A., Rhymer, J., & Sirmon, D. G. (2021) · Academy of Management Review · doi:10.5465/amr.2019.0186 · Cited by 518 · see citing works

The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts

Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512 · see citing works

Reconfiguring Boundary Relations: Robotic Innovations in Pharmacy Work

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In the Age of the Smart Machine: The Future of Work and Power

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Machines Who Think

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From a ‘race to AI’ to a ‘race to AI regulation’: regulatory competition for artificial intelligence

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Some Moral and Technical Consequences of Automation: As machines learn they may develop unforeseen strategies at rates that baffle their programmers.

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How the Mind Explains Behavior

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Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

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When the Machine Meets the Expert: An Ethnography of Developing AI for Hiring

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Artificial Intelligence: Structures and Strategies for Complex Problem Solving

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Integrating Expert Systems and Decision Support Systems

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Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI

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Digital First: The Ontological Reversal and New Challenges for Information Systems Research

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Insights From “The Machine Stops <i>”</i> to Better Understand Rational Assumptions in Algorithmic Decision Making and Its Implications for Organizations

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Automatefin-fonnate: The two faces of intelligent technology

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Rationality and intelligence

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Complexity and Information Systems Research in the Emerging Digital World

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Exploring the Factors Associated With Expert Systems Success

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Management Information Systems: The Challenge to Rationality and Emotionality

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Strategic Directions for AI: The Role of CIOs and Boards of Directors

Li, J., Li, M., Wang, X., & Thatcher, J. B. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16523 · Cited by 244 · see citing works

Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing

Pachidi, S., Berends, H., Faraj, S. A., & Huysman, M. (2020) · Organization Science · doi:10.1287/orsc.2020.1377 · Cited by 238 · see citing works

What Do I Do in a World of Artificial Intelligence? Investigating the Impact of Substitutive Decision-Making AI Systems on Employees' Professional Role Identity

Strich, F., University of Bayreuth, G., Mayer, A.-S., University of Passau, G., Fiedler, M., & University of Passau, G. (2021) · Journal of the Association for Information Systems · doi:10.17705/1jais.00663 · Cited by 232 · see citing works

Toward a Better Understanding of Tacit Knowledge in Organizations: Taking Stock and Moving Forward

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Research Commentary—Information Transparency in Business-to-Consumer Markets: Concepts, Framework, and Research Agenda

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Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

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Failures of Fairness in Automation Require a Deeper Understanding of Human–ML Augmentation

Teodorescu, M. H., Morse, L., Awwad, Y., & Kane, G. C. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16535 · Cited by 196 · see citing works

Understanding Privacy Online: Development of a Social Contract Approach to Privacy

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Early expert systems: Where are they now?

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Beyond the organizational ‘container’: Conceptualizing 21st century sociotechnical work

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AI on drugs: can artificial intelligence accelerate drug development? Evidence from a large-scale examination of bio-Pharma firms

Lou, B., & Wu, L. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16565 · Cited by 177 · see citing works

Entrepreneurial action, creativity, & judgment in the age of artificial intelligence

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Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems

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Theorizing the Digital Object1

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Coordinating Human and Machine Learning for Effective Organizational Learning

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Standard Making: A Critical Research Frontier for Information Systems Research

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Editor’s Comments

Rai, A., Constantinides, P., & Sarker, S. (2019) · MIS Quarterly · doi:10.25300/misq/2019/431e0 · Cited by 153 · see citing works

An Examination of the Impact of Expert Systems on the Firm: The Case of XCON

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Humans rely more on algorithms than social influence as a task becomes more difficult

Bogert, E., Schecter, A., & Watson, R. T. (2021) · Scientific Reports · doi:10.1038/s41598-021-87480-9 · Cited by 144 · see citing works

Designing Ethical Algorithms

Martin, K. E. (2019) · MIS Quarterly Executive · doi:10.17705/2msqe.00012 · Cited by 140 · see citing works

Vulnerable robots positively shape human conversational dynamics in a human–robot team

Traeger, M. L., Strohkorb Sebo, S., Jung, M., Scassellati, B., & Christakis, N. A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910402117 · Cited by 140 · see citing works

Recombination in digital innovation: Challenges, opportunities, and the importance of a theoretical framework

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Metahuman systems = humans + machines that learn

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Crowds, Lending, Machine, and Bias

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From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World

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Losing Touch: An Embodiment Perspective on Coordination in Robotic Surgery

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The Economics of Artificial Intelligence: An Agenda

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The emerging commercial landscape of quantum computing

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Assessing Representation Theory with A Framework for Pursuing Success and Failure1

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High Reliability in Digital Organizing: Mindlessness, the Frame Problem, and Digital Operations1

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Contextual Explanation: Alternative Approaches and Persistent Challenges1

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Learning Invariant Representations From EEG via Adversarial Inference

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Datification, Organizational Strategy, and IS Research: What’s the Score?

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Intelligent Interface Design: An Empirical Assessment of Knowledge Presentation in Expert Systems1

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The Conduct of Inquiry

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AI peer reviewers unleashed to ease publishing grind.

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Games, computers, and artificial intelligence

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Autonomous tools and design

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Designing Reality: How to Survive and Thrive in the Third Digital Revolution

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Tracking the debate on COVID-19 surveillance tools

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CRSAL

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Is that social bot behaving unethically?

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IS AI GROUND TRUTH REALLY TRUE? THE DANGERS OF TRAINING AND EVALUATING AI TOOLS BASED ON EXPERTS’ KNOW-WHAT.

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Algorithmic Processes of Social Alertness and Social Transmission: How Bots Disseminate Information on Twitter

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What to do about deepfakes

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Editor's comments: research in information systems: what we haven't learned

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