Who owns a report, design, software component, or other content that an employee creates with generative AI? What happens when an organization supplies data to train an AI …
AI-generated images, videos, and audio can move across platforms in seconds. But once someone downloads, edits, or shares that content, how can another person determine where it came …
As your organization continues to adopt AI tools to increase productivity and improve decision-making, it becomes increasingly vital to consider how these tools are being governed to maintain …
An AI companion can remember conversations, personalize responses, and create the impression of an ongoing relationship. That experience raises a question that traditional chatbot governance rarely answers: What …
Creating content with AI is easy. Proving where that content came from gets harder once it moves across models, applications, editing tools, platforms, and distribution channels. Was an …
Publishing an AI safety policy is one thing. Proving that the safeguards behind it actually work is another. As frontier AI models become more capable, organizations face new …
AI-generated content can look authentic long after the information proving where it came from has disappeared. An image may be created with a generative AI model, downloaded, edited, …
Colorado’s AI law has changed. If your organization built its compliance plan around the original Colorado AI Act, some of that work may need a second look. The …
Your organization may have an AI policy, an approved list of tools, and a process for reviewing new applications. But can you identify which AI systems are accessing …
Children’s data does not stop being children’s data when AI starts using it. That sounds obvious. Operationally, it creates a much harder problem. An organization may collect children’s …