Norco Technologies Blog

ChatGPT and other generative AI tools, such as DALL-E, offer significant benefits for businesses. However, without proper governance, these tools can quickly become a liability rather than an asset. Unfortunately, many companies adopt AI without clear policies or oversight.

Only 5% of U.S. executives surveyed by KPMG have a mature, responsible AI governance program. Another 49% plan to establish one in the future but have not yet done so. Based on these statistics, while many organizations see the importance of responsible AI, most are still unprepared to manage it effectively.

Looking to ensure your AI tools are secure, compliant, and delivering real value? This article outlines practical strategies for governing generative AI and highlights the key areas organizations need to prioritize.   

Despite what detractors say, regulations are in place for good reason. They typically protect individuals from organizational malfeasance. Many of these regulations are actual laws passed by a governing body and cover the entire spectrum of the issue, not just the data involved. The ones that have data protection regulations written into them mostly deal with the handling and protection of sensitive information. For organizations that work in industries covered by these regulations there are very visible costs that go into compliance. Today, we look at the costs incurred by these organizations as a result of these regulations, and how to ascertain how they affect your business.