Nine recommendations to support developers in the design of BCIs and nine recommendations to support policymakers in the application of BCIs are made, drawing insights from the regulatory history of IMDs and principles from AI ethics.
Abstract
Brain-computer interfaces (BCIs) offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may perhaps one day lead to augmenting the cognition and decision-making of the healthy brain. However, existing regulatory frameworks designed for implantable medical devices (IMDs) are inadequate to address the unique ethical, legal, and social risks associated with next-generation networked brain-computer interfaces (BCIs). In this article, we make nine recommendations to support developers in the design of BCIs and nine recommendations to support policymakers in the application of BCIs, drawing insights from the regulatory history of IMDs and principles from AI ethics. We begin by outlining the historical development of IMDs and the regulatory milestones that have shaped their oversight. Next, we compare the unique characteristics of IMDs (including early-generation implantable BCIs) and emerging, “next-generation” implantable BCIs. We then use one case study in contemporary chip architecture—the SCALO (SCalable Architecture for LOw-power BCIs) computer system—to highlight distinctive features in the design and application of next-generation BCIs arising from these technologies, which necessitate reevaluating regulatory approaches. We identify critical ethical considerations for next-gen implantable BCIs, including unique conceptions of autonomy, identity, and mental privacy. Based on these insights, we suggest potential avenues for the ethical regulation of next-gen implantable BCIs, emphasizing the importance of interdisciplinary collaboration and proactive mitigation of potential harms. The goal is to support the responsible design and application of emerging BCIs, ensuring their safe and ethical integration into medical practice.
Implantable brain-computer interfaces (iBCIs) are rapidly transitioning from proof-of-concept devices to early clinical application. The high-resolution neural signals they capture may yield insights beyond those derived from conventional health data. In this Review, we examine how clinical iBCI data remain insufficien...
Julian D. Sandbrink, Michael J. Young· Communications Medicine· 1 citation
BACKGROUND
Implanted brain-computer interfaces (iBCIs) can record signals directly from the brain and translate them into computer commands continuously, at high speed and fidelity. Over 150 people worldwide have been implanted with an iBCI, and this number is expected to increase rapidly as iBCIs become commercially a...
M. Branco, E. Kinney-Lang, N. Ruest et al.· Neurorehabilitation and Neur...· 0 citations
It is argued that the same handful of bottlenecks recur across all three technologies (long-term stability, neural coding, and equitable access) and the governance frameworks needed alongside continued engineering progress are outlined.
Volodymyr Mavrych, O. Bolgova, Leen Alhamd et al.· Frontiers in Neuroscience· 0 citations
The study stresses the necessity of embedding relational autonomy and neural rights into BCI development, tying technological trajectories to governance demands in order to shape responsible paths for future neurotechnologies.
Yu-Zhang Wu· Theoretical and Natural Scie...· 0 citations
: Recently, brain–computer interfaces (BCIs) have developed rapidly. They are increasingly used to treat patients with severe neurological disorders. This paper analysed the ethical issues raised during the real-world applications of BCIs, including mental privacy, user autonomy, safety, responsibility, and social just...
Chong-Jing Wang· Proceedings of the 4th Inter...· 0 citations
This review systematically examines the core technologies enabling fully implantable wireless BMIs, with a focus on the fundamental design challenge: the trilemma involving data rate, power consumption, and device size.
Chang-Shuo Hu· International Journal of Bio...· 0 citations
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