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Scholars and industry practitioners have debated how to best develop interventions for ethical artificial intelligence (AI).
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“This is Just a prototype”: How ethics Are ignored in software startup-like environments. In International Conference on Agile Software Development . Springer, Cham, 195–210
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Ethnography, data transparency, and the information age
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The ethics of datasets: Moving forward requires stepping back
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Where responsible AI meets reality: Practitioner perspectives on enablers for shifting organizational practices
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Do datasets have politics? Disciplinary values in computer vision dataset development
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Image representations learned with unsupervised pre-training contain human-like biases. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency . 701–713
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Venture capital investments in artificial intelligence
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The cost of fairness in AI: Evidence from e-commerce
Moritz von Zahn, Stefan Feuerriegel, and Niklas Kuehl. 2021 · 2021
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Sustainable supply chain finance and supply networks: The role of artificial intelligence
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Elizabeth Anne Watkins, Michael McKenna, and Jiahao Chen. 2022 · 2022
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Do neural ranking models intensify gender bias?. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 2065–2068
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