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Article
Peer-Review Record

Ethical Challenges in the Development of Virtual Assistants Powered by Large Language Models

Electronics 2023, 12(14), 3170; https://doi.org/10.3390/electronics12143170
by Andrés Piñeiro-Martín 1,2,*, Carmen García-Mateo 2, Laura Docío-Fernández 2 and María del Carmen López-Pérez 2
Reviewer 1: Anonymous
Reviewer 2:
Electronics 2023, 12(14), 3170; https://doi.org/10.3390/electronics12143170
Submission received: 31 May 2023 / Revised: 13 July 2023 / Accepted: 19 July 2023 / Published: 21 July 2023
(This article belongs to the Special Issue Deep Learning for Cyber Security)

Round 1

Reviewer 1 Report

The paper presents exploration of ethical considerations and recommendations for the design and application of large language model virtual assistants. The paper is well organized. Particularly valuable are the specific recommendations.

 

An innovative element is the advocacy for releasing training data under controlled frameworks, that can contribute to transparency and ethical compliance without violating privacy or commercial interests.

There are some areas in which the paper could be improved:

- The paper could benefit from more specific case studies or real-world examples to support the arguments.

- Some concepts could be explained for the non-specialist reader, e.g. what constitutes a 'high-risk decision' by a virtual assistant, with some examples of such decisions.

- The authors make a strong case for recommendations, but discussion on potential limitations and the challenges in implementing such recommendations could provide a more balanced view.

- The limitations of the research (threats to validity) could also be taken into account.

Overall, paper contributes significantly to the ongoing field around the ethical use of LLMs in virtual assistants. 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

A detailed review was attached.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Accept in present form

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