Canvas White Paper 3   Attitudes and Opinions Regarding Cybersecurity

Wenger, Florent; Jaquet-Chiffelle, David-Olivier; Kleine, Nadine; Weber, Karsten; Morgan, Gwenyth; Gordijn, Bert; Inversini, Reto; Bangerter, Endre; Schlehahn, Eva

doi:10.2139/ssrn.3091920

Cited by 4 publications

(5 citation statements)

References 25 publications

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“…Introducing informed consent for ML usages in healthcare could allow patients to decide on their health data, which is perceived as one of the most sensitive types of data. 32 These three arguments in favor of introducing informed consent for medical ML have in common a theoretical stance, meaning that they do not acknowledge the practical difficulties and obstacles involved in implementing this requirement. The present limitation might be caused by the complexity of the issue: an interdisciplinary approach is needed to appraise the legal implications, the ethical consequences, and the reality of clinical practice.…”

Section: Ethical Considerationsmentioning

confidence: 99%

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Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations

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Informed consent is at the core of the clinical relationship. With the introduction of machine learning (ML) in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering the whole picture is essential for advancing the debate. In the light of the possible future developments of the situation and the technologies, as well as the benefits that informed consent for ML can bring to shared decision-making, the present analysis concludes that it is necessary to prepare the ground for a possible future requirement of informed consent for medical ML.

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Section: Ethical Considerationsmentioning

confidence: 99%

“…Introducing informed consent for ML usages in healthcare could allow patients to decide on their health data, which is perceived as one of the most sensitive types of data. 32…”

Section: Ethical Considerationsmentioning

confidence: 99%

Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations

et al. 2022

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“…Health data are considered one of the most personal types of information by citizens, so unauthorized access is particularly alarming [14]. Health data breaches can have serious consequences for individuals' privacy as they can cause stigma, discrimination, and embarrassment to patients.…”

Section: Health Datamentioning

confidence: 99%

It takes a pirate to know one: ethical hackers for healthcare cybersecurity

2022

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Healthcare cybersecurity is increasingly targeted by malicious hackers. This sector has many vulnerabilities and health data is very sensitive and valuable. Consequently, any damage caused by malicious intrusions is particularly alarming. The consequences of these attacks can be enormous and endanger patient care. Amongst the already-implemented cybersecurity measures and the ones that need to be further improved, this paper aims to demonstrate how penetration tests can greatly benefit healthcare cybersecurity. It is already proven that this approach has enforced cybersecurity in other sectors. However, it is not popular in healthcare since many prejudices still surround the hacking practice and there is a lack of education on hackers’ categories and their ethics. The present analysis aims to comprehend what hacker ethics is and who ethical hackers are. Currently, hacker ethics has the status of personal ethics; however, to employ penetration testers in healthcare, it is recommended to draft an official code of ethics, comprising principles, standards, expectations, and best practices. Additionally, it is important to distinguish between malicious hackers and ethical hackers. Amongst the latter, penetration testers are only a sub-category. Acknowledging the subtle differences between ethical hackers and penetration testers allows to better understand why and how the latter can offer their services to healthcare facilities.

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“…Only a few authors such as Kenneth Einar Himma (2005Himma ( , 2008 have worked systematically on the ethical issues of cybersecurity for a longer time, and recent authors on this topic have focused on more specific issues such as cyberwar (Lucas 2017;Taddeo and Glorioso 2017). A rare example of broader coverage of the topic is Manjikian (2017).…”

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confidence: 99%

“…The third White Paper 'Attitudes and Opinions regarding Cybersecurity' summarises the currently available empirical data regarding the attitudes and opinions of citizens and state actors regarding cybersecurity (Wenger et al 2017). The data emerges from the reports of EU projects, Eurobarometer surveys, policy documents of state actors and additional scientific papers.…”

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confidence: 99%

Introduction

Christen¹,

Gordijn

Loi

2020

The International Library of Ethics, Law and Technology

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This introduction provides a short overview on the book “The Ethics of Cybersecurity”. The volume explains the foundations of cybersecurity, ethics and law, outlines various problems of the domain such as ethical hacking and cyberwar, and it lists recommendations and best practices for cybersecurity professionals working in various application areas. Furthermore, the introduction outlines the background of the European CANVAS project, from which this volume emerged.

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Canvas White Paper 3 Attitudes and Opinions Regarding Cybersecurity

Cited by 4 publications

References 25 publications

Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations

Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations

It takes a pirate to know one: ethical hackers for healthcare cybersecurity

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