Kristi Boyd is the Trustworthy AI Specialist with SAS' Data Ethics Practice (DEP) and supports the Trustworthy AI strategy with a focus on the pre-sales, sales & consulting teams. She is passionate about responsible innovation and has an R&D background as a QA engineer and product manager. She is also a proud Duke alumna (go Blue Devils!).
Most of us have experienced the annoyance of finding an important email in the spam folder of our inbox. If you check the spam folder regularly, you might get annoyed by the incorrect filtering, but at least you’ve probably avoided significant harm. But if you didn’t know to check spam,
As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.
Who is responsible for ensuring that new AI technologies are fair and ethical? Does that responsibility land on AI developers? On innovators? On CEOs? Or is the responsibility more widespread? At SAS, we believe that it is everyone’s duty to innovate responsibly with AI. We believe that adhering to trustworthy
Generative AI (GAI) is a category of AI that can create new content, including video, audio, images and text. GAI has the potential to change the way we approach content creation. It’s gotten much attention lately. Take ChatGPT for example. The AI chatbot has captivated the public’s imagination with clever
