Ethical challenges of risk, informed consent, and posttrial responsibilities in human research with neural devices: a review

S Hendriks, C Grady, KM Ramos, W Chiong… - JAMA …, 2019 - jamanetwork.com
Importance Develo** more and better diagnostic and therapeutic tools for central nervous
system disorders is an ethical imperative. Human research with neural devices is important …

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

NE Mughal, MJ Khan, K Khalil, K Javed… - Frontiers in …, 2022 - frontiersin.org
The constantly evolving human–machine interaction and advancement in sociotechnical
systems have made it essential to analyze vital human factors such as mental workload …

Brain-computer interface: Challenges and research perspectives

RG Lupu, F Ungureanu… - 2019 22nd International …, 2019 - ieeexplore.ieee.org
Nowadays, the interest in the Brain-Computer Interfacing (BCI) domain is continuously
growing, only judging by the number of BCI related papers published or presented in neuro …

Developer perspectives on the ethics of AI-driven neural implants: a qualitative study

OC van Stuijvenberg, MLD Broekman, SEC Wolff… - Scientific Reports, 2024 - nature.com
Convergence of neural implants with artificial intelligence (AI) presents opportunities for the
development of novel neural implants and improvement of existing neurotechnologies …

Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion

D Rengasamy, BC Rothwell, GP Figueredo - Applied Sciences, 2021 - mdpi.com
When machine learning supports decision-making in safety-critical systems, it is important to
verify and understand the reasons why a particular output is produced. Although feature …

Ethical issues raised by incorporating personalized language models into brain-computer interface communication technologies: a qualitative study of individuals with …

E Klein, M Kinsella, I Stevens… - Disability and …, 2024 - Taylor & Francis
Purpose To examine the views of individuals with neurodegenerative diseases about ethical
issues related to incorporating personalized language models into brain-computer interface …

Permutation feature importance-based fusion techniques for diabetes prediction

S Nirmalraj, ASM Antony, P Srideviponmalar, AS Oliver… - Soft Computing, 2023 - Springer
Diabetes mellitus is one of the persistent syndromes with deadly consequences. Because of
the disease's continual observation, lifetime fidelity, and high hospital charges, it has an …

Brain–computer interface (BCI) researcher perspectives on neural data ownership and privacy

S Naufel, E Klein - Journal of Neural Engineering, 2020 - iopscience.iop.org
Objective. Brain-computer interface (BCI) research and commercially available neural
devices generate large amounts of neural data. These data have significant potential value …

Neuroethics inside and out: A comparative survey of neural device industry representatives and the general public on ethical issues and principles in neurotechnology

KE MacDuffie, S Ransom, E Klein - AJOB neuroscience, 2022 - Taylor & Francis
Neurotechnologies are rapidly being developed with the aim of alleviating suffering caused
by disease and assisting individuals with various disabilities. As the capabilities and …

The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges

J Moreno, ML Gross, J Becker, B Hereth… - Frontiers in big …, 2022 - frontiersin.org
The military applications of AI raise myriad ethical challenges. Critical among them is how AI
integrates with human decision making to enhance cognitive performance on the battlefield …