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03.06.2019 | Letter to the Editor

Three Ethical Challenges of Applications of Artificial Intelligence in Cybersecurity

verfasst von: Mariarosaria Taddeo

Erschienen in: Minds and Machines | Ausgabe 2/2019

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In 2017, the WannCry and NotPeya showed that attacks targeting the cyber component of infrastructures (e.g. attacks on power plants), services (e.g. attacks to banks or hospitals servers), and endpoint devices (e.g. attacks on mobiles and personal computers) have a great disruptive potential and could cause serious damage to our information societies. WannaCry crippled hundreds of IT systems. And NotPetya costed pharmaceutical giant Merck, shipping firm Maersk and logistics company FedEx around US$300 million each. At a global level, cyber crime causes multi-billion dollar losses to businesses, with average losses per organization running from US$3.8 to US$16.8 million in the smallest and largest quartiles respectively (Accenture 2017). …

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https://www.microsoft.com/security/blog/2018/08/09/protecting-the-protector-hardening-machine-learning-defenses-against-adversarial-attacks/.

AI as a form an autonomous, self-learning, interactive agency poses a plethora of ethical issues, that Luciano Floridi and I addressed here (Floridi and Taddeo 2016; Yang et al. 2018).

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DarkLight Offers First of Its Kind Artificial Intelligence to Enhance Cybersecurity Defenses. (2017). 26 July 2017. https://www.businesswire.com/news/home/20170726005117/en/DarkLight-Offers-Kind-Artificial-Intelligence-Enhance-Cybersecurity.

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Titel: Three Ethical Challenges of Applications of Artificial Intelligence in Cybersecurity
verfasst von: Mariarosaria Taddeo
Publikationsdatum: 03.06.2019
Verlag: Springer Netherlands
Erschienen in: Minds and Machines / Ausgabe 2/2019
Print ISSN: 0924-6495
Elektronische ISSN: 1572-8641
DOI: https://doi.org/10.1007/s11023-019-09504-8

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