The Ethical AI Project Leader (Bundle 2)

AI is powerful. But it also comes with risks: bias, privacy violations, lack of transparency, and over-reliance on automation. You're using AI to make decisions that affect people. Your team, your stakeholders, the users your project serves are impacted by the outcomes of your decisions. And every time you use AI, you're making ethical choices, whether you realize it or not. Here's the reality: AI doesn't have ethics. You do. AI doesn't care if it's fair. It doesn't care if it's biased. It doesn't care about unintended consequences. Your job as a project leader is to use AI in ways that reflect your values and your organization's values. This 20-minute micro-course teaches you the Ethical AI Framework: recognize bias in AI outputs, protect privacy and data security, maintain transparency with your team, and balance efficiency with human oversight. You'll learn how to audit AI for bias (with a step-by-step worksheet), verify data privacy before using AI with sensitive information, know when to say no to AI (some decisions are too high-stakes for algorithms), and build a culture where people feel safe raising ethical concerns. You'll see how a healthcare PM caught a scheduling algorithm that was creating inequitable access to care and how adjusting the AI's parameters made the system fairer without sacrificing efficiency. Because the higher the stakes, the more responsibility you carry. You'll learn what to do when AI gets it wrong, how to spot hidden assumptions in AI outputs, and how to lead with intention instead of just optimizing for speed. AI is a tool. How you use it is a choice. This course helps you make ethical choices consistently. Certificate of completion included.