Evidence map›Paper›PMID 33178903›Full record

ArticleThe Rutgers journal of bioethics2020

Agency and Accountability: Ethical Considerations for Brain-Computer Interfaces.

Erika J Davidoff

Open access · greenAbstract read
In one paragraph

Article in The Rutgers journal of bioethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Ethics of brain-computer interface in mental healthcare.Frontiers in human neuroscience · 2026
    Article
  2. Neuroethics and Neurorights.Annals of medicine and surgery (2012) · 2025
    Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Erika J DavidoffRutgers University, Department of Biomedical Engineering.
Rutgers Sexual and Reproductive Health and Rights · NL

Funding

X-RAY STRUCTURE OF RIFM PROTEIN FROM THE BIOSYNTHESIS PATHWAY OF THE ANSAMYCIN AP41RR012408 · NCRR · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI CHRISTENSEN, HANS ERIK · 1998 to 2011
$32.2M
Rutgers Biotechnology Training ProgramT32GM135141 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANN M. STOCK, Martin L Yarmush · 2020 to 2026
$3.5M
NCRR NIH HHS P41 RR012408NIGMS NIH HHS T32 GM135141
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) are systems in which a user's real-time brain activity is used to control an external device, such as a prosthetic limb. BCIs have great potential for restoring lost motor functions in a wide range of patients. However, this futuristic technology raises several ethical questions, especially concerning the degree of agency a BCI affords its user and the extent to which a BCI user ought to be accountable for actions undertaken via the device. This paper examines these and other ethical concerns found at each of the three major parts of the BCI system: the sensor that records neural activity, the decoder that converts raw data into usable signals, and the translator that uses these signals to control the movement of an external device.

Indexed as

agencybrain-computer interfacesneural implantsneuroprostheticsresponsibility

Identifiers

PMID33178903
PMCPMC7654969
OpenAlexW3102861771

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.