The field of Neuro-Engineering seems to be on the fast track towards accomplishing its ultimate goal of potentially replacing the nervous system in the face of disease. Meanwhile, the patients and professionals involved are continuously dealing with human bodily experience and especially how neuro-engineering devices could become part of a user’s body schema: the domain of ‘embodied phenomenology’. This focus on embodiment, however, is not sufficiently reflected in the current literature on ethical and philosophical issues in neuro-engineering. In this article (...) we will focus on this lacuna by explaining existing data on neuro-engineering user’s experiences by using phenomenological concepts such as transparency and the concepts that may facilitate this: functionality, sensorimotor feedback and affective tolerance. By introducing and applying these concepts to four real life case examples, we will discuss practical implications and guidelines which can contribute to the actual success of incorporation of the device by the patient. First, we will discuss the importance of a ‘Patient Preference Diagnosis’, which can serve as a way to prepare the patient for the existential reorientation involved in the process. In addition, a Patient Transparency Diagnosis during and after such a process is also relevant when wanting to provide the medical field in general with feedback, and the patient in particular with possibilities to fine-tune the device. From these practical guidelines we will conclude that the phenomenological approach can be very valuable when applied to the field of neuro-engineering. (shrink)

The field of Neuro-Engineering seems to be on the fast track towards accomplishing its ultimate goal of potentially replacing the nervous system in the face of disease. Meanwhile, the patients and professionals involved are continuously dealing with human bodily experience and especially how neuro-engineering devices could become part of a user’s body schema: the domain of ‘embodied phenomenology’. This focus on embodiment, however, is not sufficiently reflected in the current literature on ethical and philosophical issues in neuro-engineering. In this article (...) we will focus on this lacuna by explaining existing data on neuro-engineering user’s experiences by using phenomenological concepts such as transparency and the concepts that may facilitate this: functionality, sensorimotor feedback and affective tolerance. By introducing and applying these concepts to four real life case examples, we will discuss practical implications and guidelines which can contribute to the actual success of incorporation of the device by the patient. First, we will discuss the importance of a ‘Patient Preference Diagnosis’, which can serve as a way to prepare the patient for the existential reorientation involved in the process. In addition, a Patient Transparency Diagnosis during and after such a process is also relevant when wanting to provide the medical field in general with feedback, and the patient in particular with possibilities to fine-tune the device. From these practical guidelines we will conclude that the phenomenological approach can be very valuable when applied to the field of neuro-engineering. (shrink)

The role of artificial intelligence (AI) in organizations has fundamentally changed from performing routine tasks to supervising human employees. While prior studies focused on normative perceptions of such AI supervisors, employees’ behavioral reactions towards them remained largely unexplored. We draw from theories on AI aversion and appreciation to tackle the ambiguity within this field and investigate if and why employees might adhere to unethical instructions either from a human or an AI supervisor. In addition, we identify employee characteristics affecting this (...) relationship. To inform this debate, we conducted four experiments (total N = 1701) and used two state-of-the-art machine learning algorithms (causal forest and transformers). We consistently find that employees adhere less to unethical instructions from an AI than a human supervisor. Further, individual characteristics such as the tendency to comply without dissent or age constitute important boundary conditions. In addition, Study 1 identified that the perceived mind of the supervisors serves as an explanatory mechanism. We generate further insights on this mediator via experimental manipulations in two pre-registered studies by manipulating mind between two AI (Study 2) and two human supervisors (Study 3). In (pre-registered) Study 4, we replicate the resistance to unethical instructions from AI supervisors in an incentivized experimental setting. Our research generates insights into the ‘black box’ of human behavior toward AI supervisors, particularly in the moral domain, and showcases how organizational researchers can use machine learning methods as powerful tools to complement experimental research for the generation of more fine-grained insights. (shrink)

Description: Ancient Indian logic by itself is a very vast subject. The ancient Sanskrit term nyaya which was first used in a different or in a much more general sense, was later specifically applied to the Nyaya school. The physics and physiology and psychology of the Nyaya doctrine are not specifically its own, being from the first indistinguishable from those of its sister Sastra, the Vaisesika. What characterizes it specifically is the development of the nyaya or five-membered method of demonstration (...) and its insistence on the four sources of knowledge, corresponding to the first four members of its demonstrative formula, or 'Syllogism.' The importance of Nyaya is in its doctrine of the pramanas, or sources of proof, and in its formulation of the nyaya, or method of demonstration. Indian Logic in its Early Schools by H.N. Randle is an interpretation of Indian logical theory in its historical development based on the study of original texts wherever reference to Nyaya as a method of logic has been made, and thus, covers a very wide field of Indian philosophy. An indispensable work for students of Indian philosophy, it is especially important for those who are interested in Nyayadarsana in its relation to the early logic of other schools. (shrink)

This unique volume will appeal to those interested in the philosophy of mind, cognitive science, and artificial intelligence as well as students of Castaneda and Latin American philosophy.

Volume 19, Issue 5, May 2019, Page 36-38.

In 2009, Time magazine named “biobanks” as one of the 10 ideas changing the world. These organized collections of human biological material and associated data have been identified as “vital research tools in the drive to uncover the consequences of human health and disease.” Since their inception, however, biobanks have faced ethical and legal challenges. Whether these pertain to informed consent, access by researchers, commercialization, confidentiality, or governance, biobanks must continue to address jurisdictional matters, operational difficulties, and normative frameworks that (...) strive to stay abreast of current scientific innovation. Yet, with some biobanks now having completed their recruitment objectives and with research currently being performed on their data and samples, one topic has become the focus of ongoing debates: the return of research results to participants. (shrink)