Next Article in Journal
Blockchain Implementation Method for Interoperability between CBDCs
Next Article in Special Issue
An Intelligent System to Ensure Interoperability for the Dairy Farm Business Model
Previous Article in Journal
A Hierarchical Cache Size Allocation Scheme Based on Content Dissemination in Information-Centric Networks
Previous Article in Special Issue
H2O: Secure Interactions in IoT via Behavioral Fingerprinting
 
 
Review
Peer-Review Record

Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies

by Brian Pickering
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Submission received: 20 April 2021 / Revised: 8 May 2021 / Accepted: 12 May 2021 / Published: 18 May 2021

Round 1

Reviewer 1 Report

Dear author, thank you for your manuscript. I enjoyed reading it. Presented are some suggestions to improve it: (1) Please kindly consider changing your title from ALL CAPS, WHICH IS VERY HARD TO READ into Title Case, which is easier to read: "Trust, But Verify: Informed Consent, AI Technologies, And Public Health Emergencies". Thank you. (2) To improve the impact and readership of your manuscript, the author needs to clearly articulate in the Abstract and in the Introduction sections about the uniqueness or novelty of this paper, and why or how it is different from other similar papers. Thank you. (3) As your manuscript is a literature review, please kindly include a section to clearly state the procedures of the systemic literature review methodology used. This is a requirement for systemic literature reviews. Thank you. (4) Please kindly define and explain what is the main difference between 'morals' and 'ethics' in your manuscript. Yes, there is a difference. They are not interchangeble. Thank you. (5) Given the tremendous importance of the role that Explainable AI (XAI) plays in the transparency and ethics of AI usage, it is surprising that XAI is not included in your literature review. XAI is an essential tool used for better accountability, improve transparency, and to amelioarate biases in use of AI. Please kindly include a section about XAI, and cite other papers published by MDPI about XAI. Thank you. (6) Since the journal is about the future internet, please kindly consider adding a Future Research Directions sub-section at the end of the manuscript to suggest how you plan to improve or expand your research about Informed Consent, AI Technologies, And Public Health Emergencies on the Future Internet. Thank you. (7) Many of the references cited are not yet properly formatted. For the references, instead of formatting "by-hand", please kindly consider using the free Zotero software (https://www.zotero.org/), and select "Multidisciplinary Digital Publishing Institute" as the citation format, since there are currently 102 citations in your manuscript, and there may probably be more once you have revised the manuscript. Thank you.

Author Response

Please see attached file

Author Response File: Author Response.pdf

Reviewer 2 Report

The manuscript tackles a very important topic which is of high interest of all people working in and for future internet, this of the trust and informed consent and its implications. The paper is very interesting, very well written and thoroughly reviews all available works. While the emphasis is on the health emergencies, the same situation applies in many more cases. As it is a review paper, I marked the “originality” as average and not high. Nevertheless, there are not many articles in technological articles tackling in so thorough manner this issue.

I recommend the acceptance of the paper after the following minor changes are performed only to further strengthen the work and readability.

Suggested changes:

  • Include in the end of section 1, a short paragraph explaining how the paper is structured.
  • To facilitate the reading from the average future internet reader perspective, include a very simple figure showing the different aspects of consent and trust you explore. To draw the figure, you can imagine you are in an auditorium and try to pass your messages to your audience. This way, the technical audience targeted will have a structure in mind and go into the detailed text. (This will significantly enhance your readings).
  • As already said, the same more or less situation holds in other sectors apart from health. An excellent example with multiple stakeholders is the manufacturing sector where a more holistic integration of AI promoting collaboration is proposed. Collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption including human-in-the-loop. The importance of placing the user into the center of cyber-physical systems adopting AI and investigating his role in data generation, data sharing and decisions making is recognized in [1] where architectural tools to enable various roles and negotiations between the stakeholders are proposed.
  1. Trakadas, P.; Simoens, P.; Gkonis, P.; Sarakis, L.; Angelopoulos, A.; Ramallo-González, A.P.; Skarmeta, A.; Trochoutsos, C.; Calvο, D.; Pariente, T.; Chintamani, K.; Fernandez, I.; Irigaray, A.A.; Parreira, J.X.; Petrali, P.; Leligou, N.; Karkazis, P. An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications. Sensors2020, 20, 5480. https://0-doi-org.brum.beds.ac.uk/10.3390/s20195480

Author Response

Please see attached file

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The manuscript has been satisfactorily improved. Well done.

Back to TopTop