Exploring the impact of responsible AI governance on corporate performance

Control (management) · Corporate governance · Index (typography) · Information governance · Matching (statistics) · Propensity score matching · Sample (material) · Big Data and Business Intelligence · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI

• Experiential learning and governance in the socio-technical era

  Open Access•Ming Liu, Liu Ming et al.•Technological Forecasting and…•2026

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• Deriving personalized HRM practices using employee-AI collaboration

  Open Access•Sadia Noor Awan, Ghulam Muhammad•Acta Psychologica•2026

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• Thinking responsibly about responsible AI and ‘the dark side’ of AI

  Patrick Mikalef, Kieran Conboy et al.•European Journal of Information…•2022

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• Explainable AI

  Open Access•Arun Rai•Journal of the Academy of…•2020

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• Corporate Social Responsibility: An Overview and New Research Directions

  Heli Wang, Tong Li et al.•Academy of Management Journal•2016

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• How much should we trust staggered difference-in-differences estimates?

  Open Access•Andrew C Baker, David F Larcker et al.•Journal of Financial Economics•2022

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• Explainable Artificial Intelligence (XAI)

  Open Access•Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez et al.•Information Fusion•2020

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• XAI—Explainable artificial intelligence

  Open Access•David Gunning, Mark Stefik et al.•Science Robotics•2019

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• Some Practical Guidance for the Implementation of Propensity Score Matching

  Open Access•Marco Caliendo, Sabine Kopeinig•Journal of Economic Surveys•2008

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• The central role of the propensity score in observational studies for causal effects

  Paul R Rosenbaum, Donald B Rubin•Biometrika•1983

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• The global landscape of AI ethics guidelines

  Open Access•Anna Jobin, Marcello Ienca et al.•Nature Machine Intelligence•2019

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• AI4People—An Ethical Framework for a Good AI Society

  Open Access•Luciano Floridi, Josh Cowls et al.•Minds and Machines•2018

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• Difference-in-differences with variation in treatment timing

  Open Access•Andrew Goodman-Bacon•Journal of Econometrics•2021

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• Artificial intelligence and algorithmic bias? Field tests on social network with teens

  Open Access•Grazia Cecere, Clara Jean et al.•Technological Forecasting and…•2024

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• Exploring ethics and human rights in artificial intelligence – A Delphi study

  Open Access•B C Stahl, L Brooks et al.•Technological Forecasting and…•2023

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• Some critical and ethical perspectives on the empirical turn of AI interpretability

  Open Access•Jean-Marie John-Mathews•Technological Forecasting and…•2022

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• Understanding digital transformation

  Grégory Vial•Managing Digital Transformation•2021

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• Companies Committed to Responsible AI

  Open Access•Paul B de Laat•Philosophy & Technology•2021

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• Data governance

  Open Access•Marijn Janssen, Paul Brous et al.•Government Information Quarterly•2020

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