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NYDFS issues significant guidance on insurers using AI or external data

Data Protection Report

On January 17, 2024 the New York Department of Financial Services (“NYDFS”) published a Proposed Insurance Circular Letter (“Proposed Circular”) regarding the use of artificial intelligence systems (“AIS”) and external consumer data and information sources (“ECDIS”) in insurance underwriting and pricing.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

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Why Cyber Insurance is Essential in 2022

IT Governance

With more than 1,200 publicly disclosed data breaches last year , and organisations spending almost £3 million on average responding to security incidents , effective risk management is a top priority. One of the most common ways to mitigate the risk of a cyber security incident is cyber insurance. Data breaches are like earthquakes.

Insurance 137
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Cyber insurance: A guide for businesses

IT Governance

That’s why they organisations increasingly relying on cyber insurance policies to cover the costs when data breaches and cyber attacks occur. But just how helpful is cyber insurance? What is cyber insurance? How does cyber insurance work? What does a cyber insurance policy cover? Who needs cyber insurance?

Insurance 122
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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Privacy in an open-data world: Why government agencies need to be proactive

Collibra

Government agencies — from DC to Duluth, NYC to LA — are struggling. The ever-growing digitalization of our world has raised significant concerns about data privacy and security, particularly for agencies that manage and process sensitive and confidential information. There’s no going back.

Privacy 87
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Data catalogs, data governance, and the journey to data intelligence

Collibra

From the CDO to the data analyst to front-line customer support, everyone is using data to do their job and advance their organizational goals. Increasingly, data leaders require data intelligence to achieve success. But you can’t implement data intelligence if your data isn’t governed.