Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF. As of 2023, two-thirds of the 51 state DOTs had established some form of agency-level ...

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

This week had been dubbed “data week,” with Snowflake Summit in Las Vegas and the Data + AI Summit in San Francisco being held this week. “For likely the two biggest companies in data, we are their ...

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...

Data is one of the most valuable resources in today’s global economy—yet the rules that govern it are uneven and not conducive to beneficial cross-border data flows. Four years since former Japanese ...

In banking, data governance is about meeting both regulatory and internal requirements. Find out what's required of your data governance plans by reading this guide ...

How Can Non-Human Identities Bolster AI Governance Frameworks? What role do Non-Human Identities (NHIs) play in fortifying AI ...

Data governance is a tough topic, one Jonathan Reichental tackles in his new book in an extremely approachable manner. The new book, "Data Governance for Dummies," hit bookshelves on Dec. 8. In it, ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...