Cambridge University Press apologises for errors in the reference section of the originally published article. These have been corrected in the HTML and PDF versions of the article, as outlined below.

Bruun, Hans, Janne I. Hukkinen, Katariina I. Huutoniemi, and Julie Thompson Klein. 2005. Promoting Interdisciplinary Research: The Case of the Academy of Finland. Helsinki, Finland: Academy of Finland.

Has been corrected to:

Bruun, Henrik, Janne Hukkinen, Katri I. Huutoniemi, and Julie Thompson Klein. 2005. Promoting Interdisciplinary Research: The Case of the Academy of Finland. Helsinki, Finland: Academy of Finland.

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Chen, Li (2025). Research on AI-driven Personalized Learning Path Planning and Effectiveness under Dual-system Teaching Mode. Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference, 1–6. https://doi.org/10.1145/3746469.3746471

Has been corrected to:

Chen, Ling (2025). Research on AI-driven Personalized Learning Path Planning and Effectiveness under Dual-system Teaching Mode. Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference, 1–6. https://doi.org/10.1145/3746469.3746471

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Engelmann, Stefan, Mengchen Chen, Florian Fischer, Ching-yu Kao, and Jens Grossklags 2019. “Clear Sanctions, Vague Rewards: How China’s Social Credit System Currently Defines ‘Good’ and ‘Bad’ Behavior.” Proceedings of the Conference on Fairness, Accountability, and Transparency, 69–78. https://doi.org/10.1145/3287560.3287585

Has been corrected to:

Engelmann, Severin, Mo Chen, Felix Fischer, Ching-yu Kao, and Jens Grossklags 2019. “Clear Sanctions, Vague Rewards: How China’s Social Credit System Currently Defines ‘Good’ and ‘Bad’ Behavior.” Proceedings of the Conference on Fairness, Accountability, and Transparency, 69–78. https://doi.org/10.1145/3287560.3287585

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Fazelpour, Siavash, and David Danks. 2021. “Algorithmic Bias: Senses, Sources, Solutions.” Philosophy Compass 16 (8): e12760. https://doi.org/10.1111/phc3.12760.

Has been corrected to:

Fazelpour, Sina, and David Danks. 2021. “Algorithmic Bias: Senses, Sources, Solutions.” Philosophy Compass 16 (8): e12760. https://doi.org/10.1111/phc3.12760.

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Guerdan, Lindsay, Kenneth Holstein, Zachary Steven, and Shuran Wu (2022). Under-reliance or Misalignment? How Proxy Outcomes Limit Measurement of Appropriate Reliance in AI-assisted Decision-making. http://www.semanticscholar.org/paper/Under-reliance-or-misalignment-How-proxy-outcomes-Guerdan-Holstein/317a02a572a450af28352869ffae3d8df0104abd

Has been corrected to:

Guerdan, Luke, Kenneth Holstein, Zhiwei Steven, and Steven Wu (2022). Under-reliance or Misalignment? How Proxy Outcomes Limit Measurement of Appropriate Reliance in AI-assisted Decision-making. http://www.semanticscholar.org/paper/Under-reliance-or-misalignment-How-proxy-outcomes-Guerdan-Holstein/317a02a572a450af28352869ffae3d8df0104abd

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Herrmann, Michael, Florian J. D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Matthias Wever, Matthias Feurer, Daniel Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, and Bernd Bischl (2024a). Position: Why We Must Rethink Empirical Research in Machine Learning (No. arXiv:2405.02200). arXiv. https://doi.org/10.48550/arXiv.2405.02200

A repetition of this reference has been removed and the reference has been corrected to:

Herrmann, Moritz, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, and Bernd Bischl (2024). Position: Why We Must Rethink Empirical Research in Machine Learning (No. arXiv:2405.02200). arXiv. https://doi.org/10.48550/arXiv.2405.02200

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Jumper, John, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Alex Potapenko, Andrew Bridgland, Charlie Meyer, Simon A. A. Kohl, Andrew J. Ballard, Adrian Cowie, Bernardo Romera-Paredes, Sergey Nikolov, Rishabh Jain, Jon Adler et al. 2021. “Highly Accurate Protein Structure Prediction with AlphaFold.” Nature 596(7873): Article 7873. https://doi.org/10.1038/s41586-021-03819-2

Has been corrected to:

Jumper, John, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler et al. 2021. “Highly Accurate Protein Structure Prediction with AlphaFold.” Nature 596(7873): Article 7873. https://doi.org/10.1038/s41586-021-03819-2

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Knobbout, Jeroen, and Eric Van Der Stappen. 2020. “Where Is the Learning in Learning Analytics? A Systematic Literature Review on the Operationalization of Learning-Related Constructs in the Evaluation of Learning Analytics Interventions.” IEEE Transactions on Learning Technologies 13 (3): 631–645. https://doi.org/10.1109/TLT.2020.2999970

Has been corrected to:

Knobbout, Justian, and Esther Van Der Stappen. 2020. “Where Is the Learning in Learning Analytics? A Systematic Literature Review on the Operationalization of Learning-Related Constructs in the Evaluation of Learning Analytics Interventions.” IEEE Transactions on Learning Technologies 13 (3): 631–645. https://doi.org/10.1109/TLT.2020.2999970

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Luan, Jian, and Cheng-Min Zhao. 2006. “Practicing Data Mining for Enrollment Management and Beyond.” New Directions for Institutional Research 2006 (131): 117–122. https://doi.org/10.1002/ir.191

Has been corrected to:

Luan, Jing, and Chun-Mei Zhao. 2006. “Practicing Data Mining for Enrollment Management and Beyond.” New Directions for Institutional Research 2006 (131): 117–122. https://doi.org/10.1002/ir.191

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Malik, Muhammad Muneeb 2020. “A Hierarchy of Limitations in Machine Learning.” No. arXiv:2002.05193). arXiv https://doi.org/10.48550/arXiv.2002.05193

Has been corrected to:

Malik, Momin M. 2020. “A Hierarchy of Limitations in Machine Learning.” No. arXiv:2002.05193). arXiv https://doi.org/10.48550/arXiv.2002.05193

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Meier, Gerald M., and Sélim H. Dudley (1984). Pioneers in Development (Text/HTML No. 9948). World Bank Group. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/389011468137378972

Has been corrected to:

Meier, Gerald M., and Dudley Seers (1984). Pioneers in Development (Text/HTML No. 9948). World Bank Group. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/389011468137378972

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Messeri, Lisa, and Molly J. Crockett. 2024. “Artificial Intelligence and Illusions of Understanding in Scientific Research.” Nature 627 (8002): 49–58. https://doi.org/10.1038/s41586-024-07146-0

Has been corrected to:

Messeri, Lisa, and M. J. Crockett. 2024. “Artificial Intelligence and Illusions of Understanding in Scientific Research.” Nature 627 (8002): 49–58. https://doi.org/10.1038/s41586-024-07146-0

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Mussgnug, Anna Maria 2022. “The Predictive Reframing of Machine Learning Applications: Good Predictions and Bad Measurements.” European Journal for Philosophy of Science 12 (3): 55. https://doi.org/10.1007/s13194-022-00484-8.

Has been corrected to:

Mussgnug, Alexander Martin 2022. “The Predictive Reframing of Machine Learning Applications: Good Predictions and Bad Measurements.” European Journal for Philosophy of Science 12 (3): 55. https://doi.org/10.1007/s13194-022-00484-8.

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Mussgnug, Anna Maria 2025. “Technology as Uncharted Territory: Integrative AI Ethics as a Response to the Notion of AI as New Moral Ground.” Philosophy & Technology 38 (3): 106. https://doi.org/10.1007/s13347-025-00938-w.

Has been corrected to:

Mussgnug, Alexander Martin 2025. “Technology as Uncharted Territory: Integrative AI Ethics as a Response to the Notion of AI as New Moral Ground.” Philosophy & Technology 38 (3): 106. https://doi.org/10.1007/s13347-025-00938-w.

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Priya, Anjali, Anjali Garg, and Nirmal Prabha Tigga. 2020. “Predicting Anxiety, Depression and Stress in Modern Life Using Machine Learning Algorithms.” Procedia Computer Science 167: 1258–1267. https://doi.org/10.1016/j.procs.2020.03.442.

Has been corrected to:

Priya, Anu, Shruti Garg, and Neha Prerna Tigga. 2020. “Predicting Anxiety, Depression and Stress in Modern Life Using Machine Learning Algorithms.” Procedia Computer Science 167: 1258–1267. https://doi.org/10.1016/j.procs.2020.03.442.

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Selbst, Andrew D., Danah Boyd, Suresh A. Friedler, Suresh Venkatasubramanian, and Janet Vertesi (2019). Fairness and Abstraction in Sociotechnical Systems. Proceedings of the Conference on Fairness, Accountability, and Transparency, 59–68. https://doi.org/10.1145/3287560.3287598

Has been corrected to:

Selbst, Andrew D., Danah Boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, and Janet Vertesi (2019). Fairness and Abstraction in Sociotechnical Systems. Proceedings of the Conference on Fairness, Accountability, and Transparency, 59–68. https://doi.org/10.1145/3287560.3287598

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Semmelrock, Hannah, Tony Ross-Hellauer, Sabine Kopeinik, Daniel Theiler, Andreas Haberl, Stefanie Thalmann, and David Kowald. 2025. “Reproducibility in Machine-learning-based Research: Overview, Barriers, and Drivers.” AI Magazine 46 (2): e70002. https://doi.org/10.1002/aaai.70002

Has been corrected to:

Semmelrock, Harald, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, and Dominik Kowald. 2025. “Reproducibility in Machine-learning-based Research: Overview, Barriers, and Drivers.” AI Magazine 46 (2): e70002. https://doi.org/10.1002/aaai.70002

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Westerstrand, Sofia 2024. “Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence.” Science and Engineering Ethics 30 (5): 46. https://doi.org/10.1007/s11948-024-00507-y.

Has been corrected to:

Westerstrand, Salla 2024. “Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence.” Science and Engineering Ethics 30 (5): 46. https://doi.org/10.1007/s11948-024-00507-y.

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Note 13 on page 9 has been corrected from “Meier and Dudley 1984” to “Meier and Seers 1984”