Nos derniers articles

"Insurers are faced with a lack of consumer trust in whether premiums are established in an objective and fair manner and that claims are adequately dealt with and paid without delay. In trying to balance between consumers interests and business interests there is a risk that insurers will go too far using personal data and increasingly automated decision-making crossing the line between what is still legal and ethical."

"This document explains the enterprise risk management framework in a flow chart form."

"This document is showing the flow chart of life insurance risk"

"... results suggest increasing certainty from new information reduces the price of insurance"

"The model is a comprehensive template for assessing loss and subsequently the insurance for activities in the Arctic and sub-Arctic regions. Governmental and non-government organisations alike will benefit from the tool by using it as a loss estimation mechanism for liability for ship-source oil spills."

"Social and regulatory attention has been using fairness and equity as a lens to evaluate the outcomes of existing processes like insurance underwriting. For example, a new law in Colorado, which will come into effect at the beginning of 2023, will require insurers to provide analytical evidence that their operational processes that use inputs of consumer data and predictive models do not result in unfair discrimination against certain consumer groups. Credit-based insurance scores (hereinafter referred to as insurance risk scores) are one example of the inputs used in these operational processes"

"... insurance carriers should internally organize key stakeholders related to AI strategy and development to collaboratively evaluate how they define and develop AI projects and models. If carriers have not yet established broad life cycle governance or risk management practices unique to their AI/machine learning systems, they should begin that journey with haste."