What Is Responsible AI? | Ethics, Fairness & Accountability in AI Systems (4-2-5) скачать в хорошем качестве

What Is Responsible AI? | Ethics, Fairness & Accountability in AI Systems (4-2-5)

In Lesson 20 of our AI in the Real World course, we explore the essential idea of Responsible AI — the practice of building and deploying AI systems that are ethical, fair, and aligned with human values. AI is powerful, but with that power comes risk — and responsibility. In this video, you’ll learn: What “Responsible AI” means in practice Core principles: fairness, transparency, privacy, accountability, and safety Examples of what can go wrong: bias, surveillance, misinformation, overreach How organizations (like OpenAI, Google, and Microsoft) implement Responsible AI frameworks What YOU can do to make your AI projects more responsible — no matter your role Whether you're an engineer, product manager, designer, or student — understanding Responsible AI is critical for creating systems people can trust. 🤖 Perfect for: Developers and data scientists AI policy thinkers and ethics advocates Anyone working with or learning about AI You can find more information about Hoja AI and how to build your own AI study buddy by visiting www.hoja.ai