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  1. Committing Crimes with BCIs: How Brain-Computer Interface Users can Satisfy Actus Reus and be Criminally Responsible.Kramer Thompson - 2021 - Neuroethics 14 (S3):311-322.
    Brain-computer interfaces allow agents to control computers without moving their bodies. The agents imagine certain things and the brain-computer interfaces read the concomitant neural activity and operate the computer accordingly. But the use of brain-computer interfaces is problematic for criminal law, which requires that someone can only be found criminally responsible if they have satisfied the actus reus requirement: that the agent has performed some (suitably specified) conduct. Agents who affect the world using brain-computer interfaces do not obviously perform any (...)
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  • Why Won’t You Listen To Me? Predictive Neurotechnology and Epistemic Authority.Alessio Tacca & Frederic Gilbert - 2023 - Neuroethics 16 (3):1-12.
    From epileptic seizures to depressive symptoms, predictive neurotechnologies are used for a large range of applications. In this article we focus on advisory devices; namely, predictive neurotechnology programmed to detect specific neural events (e.g., epileptic seizure) and advise users to take necessary steps to reduce or avoid the impact of the forecasted neuroevent. Receiving advise from a predictive device is not without ethical concerns. The problem with predictive neural devices, in particular advisory ones, is the risk of seeing one’s autonomous (...)
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  • Brain–Computer Interfaces, Completely Locked-In State in Neurodegenerative Diseases, and End-of-Life Decisions.Christopher Poppe & Bernice S. Elger - forthcoming - Journal of Bioethical Inquiry:1-9.
    In the future, policies surrounding end-of-life decisions will be faced with the question of whether competent people in a completely locked-in state should be enabled to make end-of-life decisions via brain-computer interfaces (BCI). This article raises ethical issues with acting through BCIs in the context of these decisions, specifically self-administration requirements within assisted suicide policies. We argue that enabling patients to end their life even once they have entered completely locked-in state might, paradoxically, prolong and uphold their quality of life.
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  • Towards a Governance Framework for Brain Data.Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnár-Gábor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste & Philipp Kellmeyer - 2022 - Neuroethics 15 (2):1-14.
    The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for ethics and governance. We identify distinctive ethical implications of brain data acquisition and processing, and outline a multi-level governance framework. This framework is aimed at maximizing the benefits of facilitated brain data collection and further processing for science and medicine whilst minimizing risks and preventing harmful use. The framework consists of four primary (...)
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  • Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (5).
    The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency in algorithms is not always necessary, and by explaining that (...)
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