If there is one thing artificial intelligence (AI) systems need is data and lots of it as training AI is essential for achieving success for a given use case. A recent investigation by Australia’s privacy regulator into the country’s largest
According to the California legislature, audio recordings, video recordings, and still images can be compelling evidence of the truth. However, the proliferation of Artificial Intelligence (AI), specifically, generative AI, has made it drastically easier to create fake content that is
Virtually all organizations have an obligation to safeguard their personal data against unauthorized access or use. Failure to comply with such obligations can lead to significant financial and reputational harm.
In a recent settlement agreement with the SEC, a New
Data privacy and security risk and compliance issues relating to exchanges of personal information during merger, acquisition, and similar transactions can sometimes be overlooked. In 2023, we summarized an enforcement action resulting in a $400,000 settlement following a data breach
One of our recent posts discussed the uptick in AI risks reported in SEC filings, as analyzed by Arize AI. There, we highlighted the importance of strong governance for mitigating some of these risks, but we didn’t address the specific
A little more than three years ago, the U.S. Department of Labor (DOL) posted cybersecurity guidance on its website for ERISA plan fiduciaries. That guidance extended only to ERISA-covered retirement plans, despite health and welfare plans facing similar risks to
Organizations across the spectrum rely heavily on website tracking technologies to understand user behavior, enhance customer experience, and drive growth. The convenience and insights these technologies offer come with a caveat, however: They can land your organization in hot water
With organizations holding more and more data digitally, there is an increased need to ensure data remains accessible across the organization at any given time. To that end, many organizations use tools that synchronize the organization’s data across various databases,
A recent Forbes article summarizes a potentially problematic aspect of AI which highlights the importance of governance and the quality of data when training AI models. It is called “model collapse.” It turns out that over time, when AI models
While the craze over generative AI, ChatGPT, and the fear of employees in the professions landing on breadlines in the imminent future may have subsided a bit, many concerns remain about how best to use and manage AI. Of course,
