Key takeaways: Shadow AI is the unauthorized adoption of AI technology by employees within an organization The risks of shadow AI are multifaceted, and include cyber, data privacy, performance, transparency, and ethical challenges Detecting shadow AI requires a...
Key takeaways: An acceptable AI use policy is designed to help organizations clarify how their employees can use AI at work. AI usage policies can foster AI innovation while reducing the risk that employees misuse AI and create risk. AI usage policies should include...
Key Takeaways LLM performance, capabilities, and impact have rapidly advanced since the release of ChatGPT in 2022. There can be two types of bias present in LLMs: where LLMs generate overtly stereotypical, harmful, or derogatory content, and where LLMs produce...
In an era where technology seamlessly integrates into every aspect of our lives, the use of AI in tools like talent assessments is becoming increasingly prevalent. This integration has revolutionized how companies identify, evaluate, and hire top talent. In fact,...
Key Takeaways Update: On September 29, 2024, CA Gov. Gavin Newsom announced his veto of SB 1047, dubbed the AI Safety Bill, ending a month of lobbying and speculation. More on his statement and industry reactions below. SB 1047 Overview: California’s SB 1047 requires...
What is an AI Governance Framework? An AI governance framework (or an artificial intelligence governance framework) is the set of guidelines and practices that organizations use to ensure they are managing AI responsibly. AI governance frameworks lay out the key...