Ethical Considerations in Risk Management of Autonomous and Intelligent Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11240%2F24%3A10481266" target="_blank" >RIV/00216208:11240/24:10481266 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ftcv98KFZ~" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ftcv98KFZ~</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/ebce-2024-0007" target="_blank" >10.2478/ebce-2024-0007</a>
Alternative languages
Result language
angličtina
Original language name
Ethical Considerations in Risk Management of Autonomous and Intelligent Systems
Original language description
The rapid development of Artificial Intelligence (AI) has raised concerns regarding the potential risks it may pose to humans, society, and the environment. Recent advancements have intensified these concerns, emphasizing the need for a deeper understanding of the technical, societal, and ethical aspects that could lead to adverse or harmful failures in decisions made by autonomous and intelligent systems (AIS). This paper aims to examine the ethical dimensions of risk management in AIS. Its objective is to highlight the significance of ethical considerations in mitigating risks associated with the development, deployment, and use of AIS. The paper provides an overview of various types of AI risks and risk management procedures aimed at mitigating the negative impacts of those risks. We employ a comprehensive risk management approach that combines technical expertise with ethical analysis to ensure alignment with human values and societal objectives. Through the analysis of AI risks and risk management procedures, we advocate for establishing effective mechanisms for ethical oversight and legal control to promote ethical and trustworthy AIS. The findings reveal key risks associated with transparency, accountability, privacy infringement, algorithmic bias, and unintended consequences. To address these challenges, we consider integrating ethical principles into risk management practices, transparent risk communication, continuous engagement with all stakeholders, establishing robust accountability mechanisms, and regular ethical oversight as imperative in ethically designing and operating AI systems. Given the diminished effectiveness of internal audits compared to external audits, we also recommend the implementation of regular monitoring mechanisms through independent external audits when evaluating risk management practices.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60301 - Philosophy, History and Philosophy of science and technology
Result continuities
Project
<a href="/en/project/VI04000107" target="_blank" >VI04000107: Distribution system for crisis situations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ethics and Bioethics (in Central Europe)
ISSN
1338-5615
e-ISSN
2453-7829
Volume of the periodical
14
Issue of the periodical within the volume
1-2
Country of publishing house
SK - SLOVAKIA
Number of pages
16
Pages from-to
80-95
UT code for WoS article
001277144900006
EID of the result in the Scopus database
2-s2.0-85195851974