65 résultats pour « regulation »

Note on EIOPA's views for better regulation and supervision

EIOPA advocates for smarter, harmonized EU regulation and stronger supervision to simplify rules and reduce administrative burdens, boosting European competitiveness. This balanced approach aims to create a thriving Single Market while protecting consumers and ensuring financial stability. EIOPA has already taken steps in this direction and emphasizes that simplification should prioritize EU interests and avoid creating new national burdens.

Study on the Inhibiting Impact of Digital Finance on Corporate Financial Fraud

Amid #digitalfinance's rise, its role in combating corporate #financialfraud gains attention. The study explores how digital finance curbs fraud via #transparency, #regulation, #riskcontrol, and trust mechanisms. Findings suggest positive impacts on deterring corporate #fraud, with implications for digital finance development and #fraudprevention

Learning From the Past: Applying Concepts of the S&O Act to Restore Consumer Trust

The current global #dataprivacy situation resembles the accountability crisis during the early 2000s US accounting scandals. Lack of oversight, #transparency, and #regulation has led to confusion and distrust. By emulating successful models like the Sarbanes-Oxley Act, companies can regain consumer trust by treating privacy policies like #financialstatements, standardized and audited. The proposal includes #privacy #controls similar to financial internal controls and a Privacy Cube framework for #riskmanagement, ultimately aiming to rebuild #consumertrust in #data handling.

A New Approach to Measuring AI Bias in Human Resources Functions: Model Risk Management

Companies use #ai tools for #hr decisions, but they face a balance between benefits and #risks. With limited federal #regulation and complex state laws, employers seek guidance. The #model#riskmanagement#mrm framework, adapted from #finance, aids in managing #airisks for #employment choices. Proportionality lets employers adjust validation to risks and tech changes. Objective analysis and a competent MRM team ensure AI tools align with design and legal requirements, fostering trust and #compliance.

Regulation of (Generative) AI Requires Continuous Oversight

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The submission suggests strategies for regulating #ai in #australia, including examining the rate of take-up of #automated #decisionmaking systems, and regulating specific applications of underlying AI technologies. It also suggests altering the definition of AI, creating a set of guiding principles, and adopting a #risk-based approach to #regulation.

Cybersecurity Disclosure Regulations and Non‑GAAP Earnings: Evidence from Data Breach Disclosure Law

This paper examines the impact of #databreach #disclosure laws (DBDL) on companies' voluntary #financial disclosure behaviors. The authors use a difference-in-differences analysis to show that firms have a higher propensity of disclosing non-#gaap earnings after the adoption of DBDL, suggesting that such mandatory disclosure #regulation on #cybersecurity stimulates firms' voluntary disclosure of non-GAAP earnings.

Multivariate risk measures for elliptical and log‑elliptical distributions

"This paper introduces the multivariate range Value-at-Risk (MRVaR) and multivariate range covariance (MRCov) as #risk#measures for #riskmanagement in #regulation and investment… Frequently-used cases in industry, such as normal, student-t, logistic, Laplace, and Pearson type VII distributions, are presented with numerical examples."