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AI Act and Public Procurement Law – an Opportunity or Threat

100%

Zięba B.

nr 2

625-635

The risks named in the regulation and other European documents diverge significantly from those generally identified in management standards as “conventional” IT risk. In the context of operational risks associated with the activities of a given entity and the varying perceptions of those risks by participants in the broadly understood market, a pressing need has arisen to develop a comprehensive legal framework that would not only chart the course for future development but would also name most critical pain points and ensure minimum protection. The AI Act responds to the rapid and dynamic development of artificial intelligence which has penetrated many aspects of everyday life, from healthcare to transport and safety. These regulations aim to safeguard society from the potential risks arising from the unchecked development and implementation of AI while fostering innovation and providing a framework for the safe, ethical, and responsible use of this technology. The public procurement market is leveraging AI tools, both contracting authorities and contractors. In sectors involving the expending of taxpayers’ money, including in public procurement, AI promises immense capabilities, particularly in areas where data is available, and processes and tasks can be automated.

Operational risk assessment: a fuzzy logic approach

100%

Hain S. , Rommelfanger H.

Foundations of Computing and Decision Sciences

2009

tom Vol. 34, No. 2

105-123

This paper presents an integrated approach to evaluating operational risk based on a hierarchical system of risk factors. Employing a fuzzy logic expert system both quantitative and qualitative data can be aggregated to the total operational risk. The procedure is explained by the subsystem IT security. For selected risk categories the expert rule maps and the fuzzy inference process are described in detail. A numerical example illustrates the course of the fuzzy expert system using the new developed software tool Visual Fuzzy.