Artikel

Digital innovations and smart solutions for society and economy: Pros and cons

Recent developments in artificial intelligence (AI) may involve significant potential threats to personal data privacy, national security, and social and economic stability. AI-based solutions are often promoted as "intelligent" or "smart" because they are autonomous in optimizing various processes. Because they can modify their behavior without human supervision by analyzing data from the environment, AI-based systems may be more prone to malfunctions and malicious activities than conventional software systems. Moreover, due to existing regulatory gaps, development and operation of AI-based products are not yet subject to adequate risk management and administrative supervision. Resonating to recent reports about potential threats resulting from AI-based systems, this paper presents an outline of a prospective risk assessment for adaptive and autonomous products. This research resulted in extensive catalogs of possible damages, initiating events, and preventive policies that can be useful for risk managers involved in conducting risk assessment procedures for AI-based systems. The paper concludes with the analysis and discussion of changes in business, legal, and institutional environments required to ensure the public that AI-based solutions can be trusted, are transparent and safe, and can improve the quality of life.

Sprache
Englisch

Erschienen in
Journal: Foundations of Management ; ISSN: 2300-5661 ; Volume: 13 ; Year: 2021 ; Issue: 1 ; Pages: 103-116 ; Warsaw: De Gruyter

Klassifikation
Management
Business Administration: General
Thema
digital innovations
digital services
artificial intelligence
smart services
risk assessment
risk management

Ereignis
Geistige Schöpfung
(wer)
Sikorski, Marcin
Ereignis
Veröffentlichung
(wer)
De Gruyter
(wo)
Warsaw
(wann)
2021

DOI
doi:10.2478/fman-2021-0008
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Sikorski, Marcin
  • De Gruyter

Entstanden

  • 2021

Ähnliche Objekte (12)