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This article reviews the EU's Artificial Intelligence Act, highlighting its structure, scope, and key principles like fairness and transparency. It critiques the complexity of regulating high-risk AI, forbidden practices, and the risk of hindering responsible innovation despite an overall balanced framework.
The paper analyzes the EU's Artificial Intelligence Act and its impact on AI regulation in banking and finance. It highlights the Act's potential to enhance governance, address high-risk applications, and the need for better coordination among regulators. Findings suggest challenges remain, including the necessity for adaptive frameworks to ensure ethical AI deployment.
“We find suggestive evidence indicating that some firms manipulate the discovery date (“misreport”) of a cybersecurity incident to postpone the disclosure of the incident, as evidenced by a pronounced spike in insider sales before the reported discovery date. We also find that misreporting is more prevalent among firms with weak internal control systems, when firms face low litigation risk, and when firms have greater pressure to meet a disclosure deadline.”
“... we argue there are good reasons for skepticism, as many of its key operative provisions delegate critical regulatory tasks to AI providers themselves, without adequate oversight or redress mechanisms. Despite its laudable intentions, the AI Act may deliver far less than it promises.”
“... we analyse the regulatory necessity in introducing a coercive regulatory framework, and second, present the regulatory concept of the AI Act with its fundamental decisions, core provisions and risk typology. Lastly, a critical analysis points to shortcomings, tensions and watered down assessments of the Act.”
“... the paper analyses (i) how the AI Act should be applied and implemented according to its original intention of a risk-based approach, (ii) how the AI Act should be complemented by sector-specific legislation in the future to avoid inconsistencies and over-regulation, and (iii) what lessons legislators around the world can learn from the AI Act in regulating AI.”
The EU aims to foster digital transformation across sectors by 2030 through legislation on AI, cloud computing, and crypto-assets. However, compared to ESG, banking regulation lacks a clear framework for managing digital risks and supervisory assessment. This paper discusses digital innovation in banking, proposing risk-based Pillar 2 prudential framework and harmonized Pillar 3 disclosures to address this gap.
“This paper looks at global and regional efforts to come up with strategies and regulatory frameworks for AI governance. Chief amongst them include the OECD AI Principles; the EU AI Act; and the NIST AI RMF. The common thread among these frameworks or legislations is identifying and categorizing AI developments and deployments according to their risk levels and providing guidelines for ethical and trustworthy AI with considerations for human safety and innovation.”
“This paper discusses and analyses the regulatory approach underlying the AI Act, the main issues surrounding the proposed regulation, and the implications for the AI Act's ability to achieve its goals.”
“... we provide evidence that setting the risk-weighted ratio at 15\% and the simple leverage ratio at 10% would significantly decrease the probability of default without hampering banks' activities.”