Cory Frazier Annotated Bibliography
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School
Wright State University *
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Course
112
Subject
Information Systems
Date
Apr 3, 2024
Type
rtf
Pages
3
Uploaded by coryfrazier09
Annotated Bibliography
Bécue, A., Praça, I., & Gama, J. (2021). Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities. Artificial Intelligence Review
, 54
. https://doi.org/10.1007/s10462-020-09942-2
This source provides information regarding security principles and detection methods which form the main attack surface for systems. It further explains the way artificial intelligence is already used for intrusion detection. The authors further examine how artificial intelligence is used in manufacturing systems and the new set of challenges this present from a cybersecurity standpoint.
Hu, Y., Kuang, W., Qin, Z., Li, K., Zhang, J., Gao, Y., Li, W., & Li, K. (2023). Artificial Intelligence Security: Threats and Countermeasures. ACM Computing Surveys
, 55
(1), 1–
36. https://doi.org/10.1145/3487890
The authors provide severe security threats presented by artificial intelligence from a security perspective. These threats can be sensor spoofing attacks, “poisoning” and adversarial attacks. The authors cover the wide history leading up to modern day artificial
intelligence. This source specifically covers future challenges and opportunities for security issues concerning artificial intelligence. Johnson, J. S. (2020). Artificial Intelligence: A Threat to Strategic Stability. Strategic Studies Quarterly
, 14
(1). https://www.proquest.com/docview/2393081732/abstract/1037B9D7C854FEDPQ/1?
accountid=8289&sourcetype=Trade%20Journals
Johnson presents the challenges with artificial intelligence augmented conventional capabilities regarding strategic stability between great military powers. Johnson covers
topics concerning artificial intelligence integration in conventional weapons and nuclear capabilities. Johnson further evaluates the risk of inadvertent escalation due to integrating
nuclear and non-nuclear capabilities. Johnson believes this inadvertent escalation will decrease strategic stability, increasing the risk of nuclear warfare in the future.
Kieslich, K., Lünich, M., & Marcinkowski, F. (2021). The Threats of Artificial Intelligence Scale
(TAI). International Journal of Social Robotics
. https://doi.org/10.1007/s12369-020-
00734-w
This source outlines the threats of artificial intelligence through the integration into daily life. The authors acknowledge the benefits of artificial intelligence to the general public but warn of the threats of further implementation. The article suggest the implementation of a scale over three artificial domains, and the level of threat each domain presents. Masakowski, Y. (2020). Artificial Intelligence and Global Security : Future Trends, Threats and
Considerations
. Emerald Publishing Limited.
Masakowski presents the moral, policy and ethical dilemmas associated with the implementation of artificial intelligence. The author covers philosophical and ethical issues concerning artificial intelligence and privacy as well as artificial intelligence’s role
in the future of conventional/non-conventional warfare. Stefan, R., & Carutasu, G. (2021). A Validation Model for Ethical Decisions in Artificial Intelligence Systems using Personal Data. MATEC Web of Conferences
, 343
, 07016. https://doi.org/10.1051/matecconf/202134307016
Stefan and Carutasu discuss the difficulties and ethical challenges presented by artificial intelligence enabled decision making. The authors discuss the issue of data retention by artificial intelligence and the dangers of the use of an alleged “black box” to store data
used by artificial intelligence to keep non-public information separate. This source mainly focuses on the operation of artificial intelligence systems using personal data to make computer based decisions in regard to credit approval, credit scoring, and tracking purchase behaviors.
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