Hidden Feedback Loops in Machine Learning Systems: A Simulation Model and Preliminary Results

Autor:	Anton Khritankov
Rok vydání:	2021
Předmět:	Computer science business.industry media_common.quotation_subject Price estimation Prediction system Feedback loop Recommender system Machine learning computer.software_genre Software quality Quality (business) Artificial intelligence business computer media_common
Zdroj:	Software Quality: Future Perspectives on Software Engineering Quality ISBN: 9783030658533 SWQD
Popis:	In this concept paper, we explore some of the aspects of quality of continuous learning artificial intelligence systems as they interact with and influence their environment. We study an important problem of implicit feedback loops that occurs in recommendation systems, web bulletins and price estimation systems. We demonstrate how feedback loops intervene with user behavior on an exemplary housing prices prediction system. Based on a preliminary model, we highlight sufficient existence conditions when such feedback loops arise and discuss possible solution approaches.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::61d9f3b7565038e21eaca67eed100189 https://doi.org/10.1007/978-3-030-65854-0_5 Zobrazit plný text záznamu