Four ethical priorities for neurotechnologies and AI

By Rafael Yuste, S. Goering. 2017

451 citations recorded by the source corpus.

Artificial intelligence and brain–computer interfaces must respect and preserve people's privacy, identity, agency and equality, say Rafael Yuste, Sara Goering and colleagues.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hamdi Altaheri
2. G. Muhammad
3. M. Alsulaiman
4. G. Altuwaijri
5. S. Amin
6. Wadood Abdul
7. M. Bencherif
8. M. Faisal

Citations in the corpus

• Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review (2021, background): “However, BCIs for augmenting human functions raise important ethical issues and debates [163] that have led to them receiving less attention than applications that improve quality of life for people with disabilities, which require little justification.”
• Progress in Neuroengineering for brain repair: New challenges and open issues (2018, background): “A priority is represented by the concerns of end-users who report a controversial attitude towards neurotechnology (Yuste et al., 2017).”