Nos derniers articles

“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.”

Analyzing EEA insurers from 2012 to 2021 using a difference-in-differences approach, this study reveals improvements in analysts' forecasts post-Solvency II implementation. Although no change in forecast bias is observed, there is a reduction in absolute earnings forecast errors and forecast dispersion, highlighting the positive impact of Solvency II disclosures on reporting accuracy. The findings contribute to insurance literature and inform regulatory authorities.

The insurance sector's role in sustainable finance, especially in the green transition, relies on balancing sustainability goals with prudential concerns like risk management under Solvency II. Emphasizing the importance of the Own Risk and Solvency Assessment (ORSA), the sector aims to align investments with policyholder interests while addressing sustainability risks. Efforts continue to integrate sustainability into regulatory frameworks, balancing risk management with support for the sustainability transition.

“The #eu draft for an #euaiact is a legal medley. Under the banner of #risk-based #regulation, the AI Act combines two repertoires of EU law, namely #productsafety and #fundamentalrights protection. However, the proposed medley can fail if it does not account for the structural differences between the two legal repertoires…”

On July 26, 2023, the #sec adopted final rules requiring disclosure of material #cybersecurity incidents on Form 8-K and periodic disclosure of a registrant’s cybersecurity #riskmanagement, strategy, and #governance in #annualreports.

Recent #ai developments, particularly in Natural Language Processing (#nlp) like #gpt3, are widely used. Ensuring safety and trust with increasing NLP use requires robust guidelines. Global AI #regulations are evolving through initiatives like the #euaiact, #unesco recommendations, #us AI Bill of Rights, and others. The EU AI Act's comprehensive regulation sets a potential global benchmark. NLP models are subject to existing rules, such as #gdpr. This paper explores AI regulations, GDPR's application to AI, the EU AI Act's #riskbasedapproach, and NLP's role within these frameworks.

The introduction of #ai #chatgpt has stirred discussions about AI regulation. The controversy over classifying systems like ChatGPT as "high-risk" AI under #euaiact has sparked concerns. This paper explores how Large Language Models (#llms) such as ChatGPT are shaping AI policy debates and delves into potential lessons from the #gdpr for effective regulation.

This paper critically assesses the proposed #euaiact regarding #riskmanagement and acceptability of #highrisk #ai systems. The Act aims to promote trustworthy AI with proportionate #regulations but its criteria, "as far as possible" (AFAP) and "state of the art," are deemed unworkable and lacking in proportionality and trustworthiness. The Parliament's proposed amendments, introducing "reasonableness" and cost-benefit analysis, are argued to be more balanced and workable.