4 Practical Steps for Effective AI Governance
Given the rapidly evolving regulatory and business landscape, here are four steps agents may wish to consider as they evaluate and deploy new AI tools and functionality.
Given the rapidly evolving regulatory and business landscape, here are four steps agents may wish to consider as they evaluate and deploy new AI tools and functionality.
This end-of-year episode of Agency Nation Radio is brought to you by the editors of Independent Agent magazine. Will Jones, editor-in-chief, hosts the discussion and is joined by Olivia Overman, content editor, and AnneMarie McPherson Spears, news editor.
President Donald Trump issued an executive order that seeks to restrict states’ ability to regulate artificial intelligence (AI).
Lawsuits over how businesses collect and use data have surged, driven largely by aggressive plaintiff’s attorneys leveraging decades-old privacy laws in modern contexts.
Who really owns that data once it’s stored in a vendor’s system? What happens if an agency decides to switch platforms? And can agents freely connect their data across tools to build the client experience they want, or are they locked into whatever their vendor dictates?
While there’s no way to guarantee your agency will never be susceptible to an attack on your systems or data, there are steps you can take to understand and increase the security of your client data.
Clyde & Co, a global law firm, predicts a sharp increase in AI-related cases, particularly class action lawsuits, in 2024 and beyond.
The global average breach cost reached $4.45 million, with detection and escalation the most expensive component—indicating a shift toward more extended and complex investigations.
While compliance has often been considered a costly and tedious—but necessary—issue, it can offer valuable opportunities to increase profitability.
Companies entrusted with its customers’ financial data are shifting their messaging to emphasize the steps they are taking to ensure the safety of that data.