In this fascinating study, the author analyzes the conceptual roots of molecular biology and the social matrix in which it was developed.

The ArgumentThis paper focuses on the opening of a discursive space: the emergence of informational and scriptural representations of life and their self-negating consequences for the construction of biological meaning. It probes the notion of writing and the book of life and shows how molecular biology's claims to a status of language and texuality undermines its own objective of control. These textual significations were historically contingent. The informational representations of heredity and life were not an outcome of the internal cognitive (...) momentum of molecular biology; they were not a logical necessity of the unravelling of the base-pairing of the DNA double-helix. They were transported into molecular biology still within the protein paradigm of the gene in the 1940s and permeated nearly every discipline in the life and social sciences. These information-based models, metaphors, linguistic, and semiotic tools which were central to the formulation of the genetic code were transported into molecular biology from cybernetics, information theory, electronic computing, and control and communication systems — technosciences that were deeply embedded with the military experiences of world war II and the Cold War. The information discourse thus became fixed in molecular biology not because it worked in the narrow epistemic sense, but because it positioned molecular biology within postwar discourse and culture, perhaps within the transition to a post-modern information-based society. (shrink)

Addiction appears to be a deeply moralized concept. To understand the entwinement of addiction and morality, we briefly discuss the disease model and its alternatives in order to address the following questions: Is the disease model the only path towards a ‘de-moralized’ discourse of addiction? While it is tempting to think that medical language surrounding addiction provides liberation from the moralized language, evidence suggests that this is not necessarily the case. On the other hand non-disease models of addiction may seem (...) to resuscitate problematic forms of the moralization of addiction, including, invoking blame, shame, and the wholesale rejection of addicts as people who have deep character flaws, while ignoring the complex biological and social context of addiction. This is also not necessarily the case. We argue that a deficit in reasons responsiveness as basis for attribution of moral responsibility can be realized by multiple different causes, disease being one, but it also seems likely that alternative accounts of addiction as developed by Flanagan, Lewis, and Levy, may also involve mechanisms, psychological, social, and neurobiological that can diminish reasons responsiveness. It thus seems to us that nondisease models of addiction do not necessarily involve moralization. Hence, a non-stigmatizing approach to recovery can be realized in ways that are consistent with both the disease model and alternative models of addiction. (shrink)

Engineering an artificial intelligence to play an advisory role in morally charged decision making will inevitably introduce meta-ethical positions into the design. Some of these positions, by informing the design and operation of the AI, will introduce risks. This paper offers an analysis of these potential risks along the realism/anti-realism dimension in metaethics and reveals that realism poses greater risks, but, on the other hand, anti-realism undermines the motivation for engineering a moral AI in the first place.

Upon entering the examination room, Caitlyn encounters a woman sitting alone and in distress. Caitlyn introduces herself as the hospital ethicist and tells the woman, Mrs. Dennis, that her aim is to help her reach a decision about whether to perform an autopsy on her recently deceased husband. Mrs. Dennis begins the encounter by telling the ethicist that she has to decide quickly, but that she is very torn about what to do. Mrs. Dennis adds, “My sons disagree about the (...) autopsy.” As a standardized patient, a specialized actor, the woman playing Mrs. Dennis has already delivered the same opening lines several times to different learners practicing their clinical ethics consultation skills. An SP encounter is a simulated patient encounter used for educational purposes that requires the standardization of verbal and behavioral responses. In the encounter, the simulator, or “patient,” uses a scripted medical history to enable the learner to employ a certain skill, say, the ability to perform a neurological exam. The use of standardized patients in the evaluation of clinical skills has become a staple in medical education. To tackle the challenge of teaching clinical ethics consultation skills, we have incorporated SP encounters into the curriculum of the Bioethics Program of The Union Graduate College and the Icahn School of Medicine at Mount Sinai. SP encounters are incorporated into one of our onsite classes, the Onsite Clinical Ethics Practicum, and they are part of the capstone examination, which all of our graduates must complete successfully. The inclusion of simulated encounters into the curriculum is one way in which we equip our students with the core competencies specified by the American Society for Bioethics and Humanities Task Force for clinical ethicists. (shrink)

At the request of the Midwest Bioethics Center (MBC), we surveyed nurses' and physicians' attitudes and needs regarding Hospital Ethics Committees (HECs). The primary objective of this research project was to inform the practices and policies of the Ethics Committee Consortium of the Bioethics Center.Four thousand eight hundred and twenty-nine surveys were distributed to the medical and nursing staff of eight Kansas City metropolitan area hospitals. One thousand and fifty-five surveys were returned, representing a response rate of 21%.

In a controlled laboratory experiment, we found evidence for our predictions that participants who received fair distributive treatment were more likely to lie to give a supervisor a good performance evaluation than those treated unfairly, and those who received unfair distributive treatment were more likely to steal money from a supervisor than those treated fairly. We further proposed that the presence of an ethical code of conduct would moderate these relationships such that when the code was present these relationships would (...) be weaker than when the code was absent, but we failed to find support for these moderating effects. Our findings suggest that the relationship between distributive justice and unethical behavior is likely more complex than previously considered. Both researchers and managers may benefit from a broader understanding of the factors that motivate and inhibit unethical behaviors intended to benefit and harm supervisors and/or organizations. (shrink)

Although risky decision-making has been posited to contribute to the maladaptive behavior of individuals with psychopathic tendencies, the performance of psychopathic groups on a common task of risky decision-making, the Iowa Gambling Task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994), has been equivocal. Different aspects of psychopathy (personality traits, antisocial deviance) and/or moderating variables may help to explain these inconsistent findings. In a sample of college students (N = 129, age 18–27), we examined the relationship between primary and secondary psychopathic (...) features and IGT performance. A measure of impulsivity was included to investigate its potential as a moderator. In a joint model including main effects and interactions between primary psychopathy, secondary psychopathy and impulsivity, only secondary psychopathy was significantly related to risky IGT performance, and this effect was not moderated by the other variables. This finding supports the growing literature suggesting that secondary psychopathy is a better predictor of decision-making problems than the primary psychopathic personality traits of lack of empathy and remorselessness. (shrink)

Nowadays, mobile telephony interruptions in our daily life activities are common because of the inappropriate ringing notifications of incoming phone calls in different contexts. Such interruptions may impact on the work attention not only for the mobile phone owners, but also for the surrounding people. Decision tree is the most popular machine-learning classification technique that is used in existing context-aware mobile intelligent interruption management model to overcome such issues. However, a single-decision tree-based context-aware model may cause over-fitting problem and thus (...) decrease the prediction accuracy of the inferred model. Therefore, in this paper, we propose an ensemble machine-learning-based context-aware mobile telephony model for the purpose of intelligent interruption management by taking into account multi-dimensional contexts and name it “E-MIIM”. The experimental results on individuals’ real-life mobile telephony data sets show that our E-MIIM model is more effective and outperforms existing MIIM model for predicting and managing individual’s mobile telephony interruptions based on their relevant contextual information. (shrink)