Nov 29, 2024 | Digital Transformation
In our response, ACCIS argues that logistic regression (LR) is a simple statistical method distinct from artificial intelligence (AI) and should not be regulated as such under the AI Act. Unlike AI, LR lacks advanced capabilities like learning, reasoning, or complex...
Nov 20, 2024 | Managing Data
In our response to the EDPB Guidelines on legitimate interest, we highlight areas of agreement as well as sections where further clarification or amendment may be beneficial to ensure a balanced application of legitimate interest provisions in the context of consumer...
Sep 13, 2024 | Digital Transformation
In our response, ACCIS notes that credit reference agencies are exploring the use of AI to help lenders evaluate the creditworthiness of individuals and businesses, as well as to establish credit scores. We highlight that AI’s ability to analyse vast and complex...
Feb 8, 2024 | Managing Data
In this response, we express concerns about perceived imbalances in GDPR enforcement. We also note that the absence of clear guidance exacerbates the situation, especially in cases where the GDPR falls short in providing necessary clarity. Members of ACCIS assert that...
Jan 16, 2024 | Digital Transformation
In this industry statement on the AI definition, a collaborative effort signed by ACCIS and various prominent industry financial services, we emphasize that traditional, statistical techniques used in credit scoring – e.g. logistic regression – warrant...
Oct 31, 2023 | Digital Transformation
In our feedback paper on the European Commission’s proposal on Financial Data Access (FIDA), we state that the proposed framework represents a positive step toward responsible and innovative financial services within the European Union. However, there are crucial...
