
Welcome to the course!
The law is the bare minimum to govern behavior. Let's set some goals for the coursework to come.
Ethics and Practical Questions to Ask
Explore privacy as a fundamental human right that underpins dignity, and analyze data governance and the ethical risks of facial recognition by Facebook, Cambridge Analytica, and Clearview AI.
Explore the four core AI ethics areas—liability, safety, explainability, and human rights—and IBM’s five principles, including designating an AI ethics lead, risk-based rules, transparency, and fairness and security.
Explore Telefónica's three-pillar AI principles: training, by design, and governance, and a three-tier self-assessment and governance model to safeguard human rights in AI.
The AI Ethics Certification course teaches right and wrong, if such a thing exists, in the context of the artificial intelligence industry. This three-section training starts by asking "What is ethics?" We’ll discuss its history, different philosophies, ethics in business, and learn the five most common principles. Second, ethics as it pertains specifically to AI with interviews from founders across the globe. We will examine commonly cited principles from governments and leaders and equate them to the five traditional pillars. Then finally, we establish a framework for your ethics roadmap. The goal is to provide stronger trust between you, your product or service, the people in the industry, and the public. Despite being a nebulous topic, we'll have fun on the path to understanding morality and committing to a better future.