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10.1007/s00146-020-01085-w http://scihub22266oqcxt.onion/10.1007/s00146-020-01085-w 33110296!7580986!33110296     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       AI+Soc 2021 ; 36 (3): 705-713 Nephropedia Template TP {{tp|p=33110296|t=2021. Artificial intelligence in medicine and the disclosure of risks |pdf=|usr=}}{{33110296}} gab.com Text Artificial intelligence in medicine and the disclosure of risks JO: AI Soc http://www.kidney.de/pget.php?&tw=1&pmid=33110296 #FOAvip This paper focuses on the use of 'black box' AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI's implicit assumptions and an individual patient's background situation. Pace current clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient's informed consent or violates a more general obligation to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the 'nature' and 'likelihood' of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. Twit Text FOAVip Artificial intelligence in medicine and the disclosure of risks ????AI Soc http://www.kidney.de/pget.php?&tw=1&pmid=33110296 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33110296 #FOAvip English Wikipedia <ref>{{Cite pmid|33110296}}</ref> Artificial intelligence in medicine and the disclosure of risks #MMPMID33110296 Kiener M AI Soc 2021[]; 36 (3): 705-713 PMID33110296show ga This paper focuses on the use of 'black box' AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI's implicit assumptions and an individual patient's background situation. Pace current clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient's informed consent or violates a more general obligation to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the 'nature' and 'likelihood' of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. äArtificial intelligence in medicine and the disclosure of risks (epmc).pdf DeepDyve Pubget Overpricing