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    This study explores the ethical implications of algorithms in brain-computer interfaces (BCIs). It suggests that existing research on algorithm ethics can offer valuable insights and solutions for BCI ethical challenges, particularly concerning responsibility.

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    Area of Science:

    • Neuroscience
    • Computer Science
    • Ethics

    Background:

    • Brain-computer interfaces (BCIs) rely heavily on algorithms.
    • The ethical considerations of these algorithms within BCIs have been largely overlooked.
    • Existing scholarship on algorithm ethics offers a framework for analysis.

    Purpose of the Study:

    • To investigate how the ethics of algorithms can inform the ethical assessment of BCIs.
    • To explore potential solutions from algorithm ethics scholarship for BCI-related ethical issues.
    • To bridge the gap between algorithm ethics and BCI ethics.

    Main Methods:

    • Introduction to the algorithmic underpinnings of BCIs.
    • Overview of the discourse on epistemic concerns and algorithm ethics.
    • Application of algorithm ethics principles to BCI ethical dilemmas.

    Main Results:

    • Algorithm ethics provides a lens to better understand BCI ethical problems, such as responsibility.
    • Established solutions in algorithm ethics scholarship can be adapted to address BCI ethical challenges.
    • A framework is proposed for transferring insights from algorithm ethics to BCIs.

    Conclusions:

    • The ethical assessment of BCIs can be significantly enhanced by leveraging the existing body of work on algorithm ethics.
    • Interdisciplinary approaches are crucial for navigating the complex ethical landscape of emerging technologies like BCIs.
    • Further research is needed to fully integrate these ethical frameworks.