EconPapers    
Economics at your fingertips  
 

Keeping Control on Deep Learning Image Recognition Algorithms

Tjitske Jager () and Eric Westhoek ()
Additional contact information
Tjitske Jager: 3Angles Audit, Risk and Compliance
Eric Westhoek: Achmea

A chapter in Advanced Digital Auditing, 2023, pp 121-148 from Springer

Abstract: Abstract In this chapter a framework is presented to control machine learning applications. This framework is based on the case of a major insurance company that applied a machine learning application to supports damage reports after a major hailstorm. This hailstorm caused severe damage to greenhouses in two provinces in the Netherlands. The study concludes that the internal control framework of the Courts of Audit presented in chapter “Understanding Algorithms” provides a solid basis for risk management. Furthermore, several additional risk areas are presented.

Keywords: Algorithm assurance; Auditing; Machine learning; Assurance; Cyber security; IT Governance; Internal control; Enterprise risk management (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-11089-4_6

Ordering information: This item can be ordered from
http://www.springer.com/9783031110894

DOI: 10.1007/978-3-031-11089-4_6

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prochp:978-3-031-11089-4_6