Applied Artificial Intelligence: Risk Mitigation Matters - Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations Access content directly
Conference Papers Year : 2022

Applied Artificial Intelligence: Risk Mitigation Matters

Norbert Jastroch
  • Function : Author
  • PersonId : 1156768

Abstract

Digital technology is the main driver of the transformation process that is already on its way and expected to take up speed. Science and engineering are challenged to realize the significant innovation potential while keeping an eye on economic and societal sustainability. Research methodology in science as well as development practice in engineering provide well-established approaches to risk management and mitigation relating to this technological transformation. Artificial intelligence, though, brings in new features to address which this chapter shall help to deal with. As such we take into view machine learning, automated decision making and autonomous systems, and data utilization. We look upon characteristic risks within the application lifecycle, and on functional, societal, and cybersecurity risks. We derive suggestions for an approach to proactive risk management addressing the lifecycle of Artificial Intelligence applications. Along with a preparatory section on terminological clarification regarding artificial intelligence, data, and risk this paper is intended to build awareness of risk mitigation matters and set the scene for the development of accountable risk management approaches.
Embargoed file
Embargoed file
0 7 10
Year Month Jours
Avant la publication
Wednesday, January 1, 2025
Embargoed file
Wednesday, January 1, 2025
Please log in to request access to the document

Dates and versions

hal-04186132 , version 1 (23-08-2023)

Licence

Attribution

Identifiers

Cite

Norbert Jastroch. Applied Artificial Intelligence: Risk Mitigation Matters. 18th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2021, Curitiba, Brazil. pp.279-292, ⟨10.1007/978-3-030-94335-6_20⟩. ⟨hal-04186132⟩
15 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More