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Automated governance and trustworthy AI

IBM Big Data Hub

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. The announcement highlighted the crucial role of training data, and the terrible consequences of using data that “fails to represent American society.”.

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From principles to actions: building a holistic approach to AI governance

IBM Big Data Hub

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. In a 2021 study by the IBM Institute of Business Value , nearly 75% of executives ranked AI ethics as important, a jump from less than 50% in 2018.

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NEW TECH: This free tool can help gauge, manage third-party cyber risk; it’s called ‘VRMMM’

The Last Watchdog

Turn the corner into 2019 and we find Citigroup, CapitalOne, Wells Fargo and HSBC Life Insurance among a host of firms hitting the crisis button after their customers’ records turned up on a database of some 24 million financial and banking documents found parked on an Internet-accessible server — without so much as password protection.

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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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Capital Markets, AI, and the need for governance

Collibra

With every financial services organization focused on making better and faster decisions, data professional and business leaders are eager to better understand how AI can facilitate their strategic goals. Financial services orgs, especially those in capital markets, frequently has been on the forefront of generative AI investment.

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The compliance challenges of hybrid working

IT Governance

Perhaps surprisingly, the former option is more popular, with a Skillscast study finding that only 20% of organisations have installed or are planning to install software to monitor remote workers. For example, financial services firms may be worried about employees breaching insider trading laws.

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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

We have summarised the key compliance obligations under the PIPL below, with new obligations in bold for ease of reference: Relevant Laws/Regulations The PIPL becomes the primary, national-level law governing processing of personal information, but does not replace the existing data privacy framework.