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  1. Brain Computer Interfaces and Communication Disabilities: Ethical, Legal, and Social Aspects of Decoding Speech From the Brain.Jennifer A. Chandler, Kiah I. Van der Loos, Susan Boehnke, Jonas S. Beaudry, Daniel Z. Buchman & Judy Illes - 2022 - Frontiers in Human Neuroscience 16:841035.
    A brain-computer interface technology that can decode the neural signals associated with attempted but unarticulated speech could offer a future efficient means of communication for people with severe motor impairments. Recent demonstrations have validated this approach. Here we assume that it will be possible in future to decode imagined (i.e., attempted but unarticulated) speech in people with severe motor impairments, and we consider the characteristics that could maximize the social utility of a BCI for communication. As a social interaction, communication (...)
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  • Brain-Computer Interfaces and the Translation of Thought into Action.Tom Buller - 2020 - Neuroethics 14 (2):155-165.
    A brain-computer interface designed to restore motor function detects neural activity related to intended movement and thereby enables a person to control an external device, for example, a robotic limb, or even their own body. It would seem legitimate, therefore, to describe a BCI as a system that translates thought into action. This paper argues that present BCI-mediated behavior fails to meet the conditions of intentional physical action as proposed by causal and non-causal theories of action. First, according to the (...)
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  • Control and Ownership of Neuroprosthetic Speech.Hannah Maslen & Stephen Rainey - 2020 - Philosophy and Technology 34 (3):425-445.
    Implantable brain-computer interfaces are being developed to restore speech capacity for those who are unable to speak. Patients with locked-in syndrome or amyotrophic lateral sclerosis could be able to use covert speech – vividly imagining saying something without actual vocalisation – to trigger neural controlled systems capable of synthesising speech. User control has been identified as particularly pressing for this type of BCI. The incorporation of machine learning and statistical language models into the decoding process introduces a contribution to the (...)
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  • Commentary: Neuroprosthetic Speech: Pragmatics, Norms, and Self-Fashioning.Karola Kreitmair - 2019 - Cambridge Quarterly of Healthcare Ethics 28 (4):671-676.
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  • The Hybridization of the Human with Brain Implants: The Neuralink Project.Éric Fourneret - 2020 - Cambridge Quarterly of Healthcare Ethics 29 (4):668-672.
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