000			01474cam a2200169 4500500
005			20251214032450.0
041			_afre
042			_adc
100	1	0	_aHurlin, Christophe _eauthor
700	1	0	_aPérignon, Christophe _eauthor
245	0	0	_aArtificial Intelligence and the Credit Market: Opportunities and Acceptability
260			_c2025.
500			_a91
520			_aThis article examines the role of artificial intelligence (AI) in credit markets. We focus on two types of models used to estimate the probability that borrowers will default : (1) origination models, applied when evaluating loan applications, and (2) internal models, developed in order to calculate banks’ regulatory capital requirements. These applications are critical: origination determines access to credit for households and SMEs, while internal models shape banks’ capitalization and, by extension, the stability of the financial system. While AI is now widely drawn on in origination, it remains as yet little used in regulatory models. The low level of adoption may be explained by the limited use of alternative data, modest economic incentives in terms of capital savings, and challenges related to model interpretability. JEL classification: C10, C38, C55, G21, G29.
786	0		_nRevue d'économie financière | 159 | 3 | 2025-10-09 | p. 105-121 | 0987-3368
856	4	1	_uhttps://shs.cairn.info/journal-revue-deconomie-financiere-2025-3-page-105?lang=en&redirect-ssocas=7080
999			_c1575341 _d1575341