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Ethical Considerations in Risk Management of Autonomous and Intelligent Systems

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Ethical Considerations in Risk Management of Autonomous and Intelligent Systems

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Ethical Considerations in Risk Management of Autonomous and Intelligent Systems

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    60301 - Philosophy, History and Philosophy of science and technology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/VI04000107" target="_blank" >VI04000107: Krizový distribuční systém</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Ethics and Bioethics (in Central Europe)

  • ISSN

    1338-5615

  • e-ISSN

    2453-7829

  • Svazek periodika

    14

  • Číslo periodika v rámci svazku

    1-2

  • Stát vydavatele periodika

    SK - Slovenská republika

  • Počet stran výsledku

    16

  • Strana od-do

    80-95

  • Kód UT WoS článku

    001277144900006

  • EID výsledku v databázi Scopus

    2-s2.0-85195851974