2022
DOI: 10.1017/s1748499521000245
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Abstract: AI has had many summers and winters. Proponents have overpromised, and there has been hype and disappointment. In recent years, however, we have watched with awe, surprise, and hope at the successes: Better than human capabilities of image-recognition; winning at Go; useful chatbots that seem to understand your needs; recommendation algorithms harvesting the wisdom of crowds. And with this success comes the spectre of danger. Machine behaviours that embed the worst of human prejudice and biases; techniques try… Show more

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Cited by 4 publications
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“…Through a shared IT infrastructure between suppliers, manufacturers, distributors, retailers, auditors, consumers and, of course, insurers 3 , blockchain technology enabled a considerable growth in supply chain management. Furthermore, the big data revolution, accompanied by machine learning and neural networks, poses new challenges to the actuarial profession (Wüthrich & Merz, 2019;Maynard et al, 2022). So much so that top management in some insurance companies has voiced the need to increasingly replace actuaries by data scientists; this is "Another brick in the wall" (thank you Pink Floyd) we as a profession cannot allow to fall.…”
mentioning
confidence: 99%
“…Through a shared IT infrastructure between suppliers, manufacturers, distributors, retailers, auditors, consumers and, of course, insurers 3 , blockchain technology enabled a considerable growth in supply chain management. Furthermore, the big data revolution, accompanied by machine learning and neural networks, poses new challenges to the actuarial profession (Wüthrich & Merz, 2019;Maynard et al, 2022). So much so that top management in some insurance companies has voiced the need to increasingly replace actuaries by data scientists; this is "Another brick in the wall" (thank you Pink Floyd) we as a profession cannot allow to fall.…”
mentioning
confidence: 99%