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Auflistung nach Schlagwort "Ethical Guidelines"

1 - 3 von 3
  • Konferenzbeitrag
    Are We Still on Track with Our Responsibility Strategy? Introducing an Internal Assessment of Corporate Digital Responsibility Engagement
    (INFORMATIK 2024, 2024) Carl, K. Valerie; Hauer, Marc P.; Arnold, Thomas
    Digitalization holds chances for companies and consumers, but also threats and risks that emerge or intensify in the digital setting. The concept of Corporate Digital Responsibility (CDR) supports companies in a comprehensive approach to responsibility engagement in the digital world, thus enabling them to address emerging or intensifying challenges adequately. To date, the conceptualization of CDR is converging increasingly, and companies are already pursuing CDR engagement in practice. As of now, tools and approaches lack that support the internal assessment of CDR engagement, a gap this study aims to diminish. This work-in-progress introduces a benchmark corpus for the internal assessment of CDR engagement and a corresponding online tool to facilitate the evaluation of a potential CDR strategy, respectively, fulfillment in practice and ultimately paving the way for auditing and certifying CDR engagement.
  • Konferenzbeitrag
    Corporate Digital Responsibility and the current Corporate Social Responsibility standard: An analysis of applicability
    (Open Identity Summit 2022, 2022) Carl, K. Valerie; Zilcher, Timothy M. C.; Hinz, Oliver
    Corporate Digital Responsibility (CDR) takes a key role in developing, deploying, and managing digital technologies, products, and services responsibly and ethically. New technologies offer new chances but also expose new threats, especially related to privacy and data security that managers need to cope with. CDR puts privacy and data security attempts in a broader context to provide a more holistic approach to Corporate Responsibilities and to strengthen consumer trust in corporate activities. However, managers still face a lack of CDR guidelines that support the implementation of CDR activities. Existing guidelines related to Corporate Responsibilities, like the ISO standard 26000, provide guidance on Corporate Social Responsibility (CSR) addressing socially responsible and sustainable behaviour. However, current standards do not cover CDR directly. As such, the purpose of this contribution is to evaluate the applicability of the existing CSR standard to CDR to pave the way for CDR standardization in the future
  • Zeitschriftenartikel
    Prinzipien für die ethische Nutzung künstlicher Intelligenz
    (HMD Praxis der Wirtschaftsinformatik: Vol. 59, No. 2, 2022) Barton, Marie-Christin; Pöppelbuß, Jens
    Die voranschreitende Digitalisierung im Allgemeinen und die zunehmende Anwendung von künstlicher Intelligenz (KI) im gesellschaftlichen Alltag bietet einige Vorteile. Allerdings werden von verschiedenen Interessensgruppen ethische Bedenken geäußert. Damit KI langfristig angewendet und KI-Lösungen erfolgreich vertrieben werden können, ist es daher unerlässlich, dass Organisationen eine ethisch-angemessene Richtung einschlagen. So erhält das relativ neue Feld der KI-Ethik wachsendes Interesse sowohl in der Wissenschaft als auch in der Praxis. Dieser Beitrag skizziert ethische Herausforderungen, denen Organisationen begegnen und somit auch Bedenken, die in der Gesamtgesellschaft durch die Digitalisierung im KI-Zeitalter aufkommen. Diese werden auf Basis verschiedener ethischer Modelle untersucht. Zudem wird ein modifiziertes Modell mit sechs Prinzipien für die ethische Nutzung künstlicher Intelligenz vorgeschlagen. Dieses umfasst die sechs KI-Ethik-Prinzipien: Wohltätigkeit, Transparenz, Nicht-Boshaftigkeit, Autonomie, Gerechtigkeit und Datenschutz. Basierend auf diesen sechs Prinzipien werden Handlungsanweisungen im Umgang mit KI-Anwendungen skizziert. Digitization in general and the increasing application of artificial intelligence (AI) in our everyday life offers some advantages. However, ethical concerns are raised by various stakeholders. For AI to be successfully applied in the long term, it is essential that organizations adopt an ethically appropriate direction. Thus, the relatively new field of AI ethics is receiving growing interest from both academia and practitioners. This paper outlines some of the ethical challenges faced by organizations and points to concerns raised in society related to AI. These are examined based on various ethical models. In addition, a modified model with six AI ethics principles is proposed. These include: beneficence, transparency, non-maleficence, autonomy, justice, and data privacy. We further derive directions for action in dealing with AI applications based on the six AI ethics principles.