Tato recenzní studie sleduje analogii, na níž založil svoji metodu bádání i psaní Douglas R. Hofstadter v knize Gödel, Escher, Bach. Proti Hofstadterovu pojetí analogie, kromě jiného ilustrované zavádějícími příklady skladeb J. S. Bacha, je analogie v této studii precizována. Zároveň jsou ve studii napraveny nedostatky hudebních příkladů, jež by patrně neodhalili čtenáři bez přímé vazby na hudební teorii. Tyto aspekty sleduje tato studie až k závěru, že recenzovaná vlivná kniha, neprávem aspirující na metodologii veškerenstva, patří mezi poulárně naučnou literaturu.

How should we punish criminal offenders? One prima facie attractive punishment is administering a mandatory neurointervention—interventions that exert a physical, chemical or biological effect on the brain in order to diminish the likelihood of some forms of criminal offending. While testosterone-lowering drugs have long been used in European and US jurisdictions on sex offenders, it has been suggested that advances in neuroscience raise the possibility of treating a broader range of offenders in the future. Neurointerventions could be a cheaper, and (...) more effective method of punishment. They could also be more humane. Nevertheless, in this paper we provide an argument against the use of mandatory neurointerventions on offenders. We argue that neurointerventions inflict a significant harm on an offender that render them a morally objectionable form of punishment in a respect that incarceration is not. Namely, it constitutes an objectionable interference with the offender’s mental states. However, it might be thought that incarceration also involves an equally objectionable interference with the offender’s mental states. We show that even if it were the case that the offender is harmed to the same extent in the same respect, it does not follow that the harms are morally equivalent. We argue that if one holds that intended harm is more difficult to justify than harm that is unintended but merely foreseen, this means neurointerventions could be morally objectionable in a significant respect that incarceration is not. (shrink)

Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the (...) difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)