It was a pleasure to talk AI this week with our UC Berkeley Supply Chain Management teams, who brought thoughtful, smart questions and insights.

Next, let’s shift gears and get hands on with an entertaining course by Dave Birss. He has an earlier course covering similar material that’s part of LinkedIn Learning’s AI Literacy path, but I’m recommending the more recently created How to Research and Write Using Generative AI Tools.

An important part of AI literacy is learning which AI options are best suited to which uses (and when to evaluate and safely procure new tools – and when to hold off.) We focus in this post on four considerations to use as a starting point to help define an AI use-case’s needs and the right approach

LinkedIn Learning’s Responsible AI course, taught by Berkeley academics, starts with a conceptual overview on what AI is and isn’t– followed by a balanced consideration of benefits and risks.

From engineering to smart prompting to social impact, considerations on how to use AI are vast and rapidly evolving, integrated into every app and tool we’re using today– a daily explosion of new opportunities and challenges to consider.

Information about AI technology addons for University video conferences including OtterPilot and Zoom AI Companion.