Nos derniers articles

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.

The paper discusses #modeling #longevity #risk, focusing on assumptions in #demographic #forecasting to project past data into the future. #stochastic forecasts are crucial to quantify #uncertainty in cohort survival predictions, including process variance and parameter/model errors.

The study analyzes how #cybersecurityrisk impacts #clawback policy adoption in #us listed firms from 2008-2018. It finds that rising cybersecurity risk increases clawback adoption, influenced by business goals, management preferences, and market efficiency. Stronger tech commitment and non-co-opted boards reduce this effect, showing firms consider clawbacks as preventive against #misconduct, incorporating cybersecurity risk.

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.

Corporate #riskmanagement encompasses both financial hedging and #operationalrisk #riskmitigation. This study investigates how #laborlaw #breaches during surprise inspections impact supplier choices in major #us firms.

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 origins of the discussion concerning the role of #risk in #datatransfers are difficult to trace. Despite this, #schrems II, a recent decision of the European Court of Justice (#cjeu), has given the topic new traction. This paper explores the risk-based approach (#rba) hypothesis for data transfers from a different perspective: the consequences of applying the 'two-step test' stated in Article 44 of #gdpr. The main goal is to present the challenges of applying this test and the various questions it raises.”

A model is developed wherein firms offer #esg and #financialreports to investors, influencing stock prices and management incentives. Changes in investor preferences and ESG's cash flow impacts shape market responses, #misreporting, and outcomes.

"There is a well-known conflict of interest between #liabilityinsurance #insurers and policyholders with respect to the decision to settle or litigate a #claim. This short note provides a simple graphical explanation for the problem and grounds it in the way the structure of the parties’ payouts drives their attitudes towards #risk. An optional appendix links the insights to the elementary mechanics of financial options.

#esg practices enhance #riskmanagement, performance, stakeholder interest, and capital access. Strong ESG ratings reduce credit spread, benefiting firms' financials. ESG disclosure aligns with principal-agent theory, lowering debt costs. Even modest ESG improvement cuts credit spread by 0.0035%, aiding companies' interest expenses. Transparent ESG commitment yields #european market rewards, aiding corporate bonds. Study aids policymakers, credit agencies, investors, and issuers in understanding ESG's bond impact.