As AI systems shape critical decisions in areas like hiring and healthcare, ensuring accountability is crucial. This session will focus on building AI with strong guardrails to mitigate bias, manage ethical risks, and promote transparency. Attendees will explore frameworks that ensure responsibility throughout the AI lifecycle, from design to deployment, and learn strategies for identifying biases and managing risks. Whether you're a seasoned developer, ML practitioner, or novice, you'll gain practical insights on creating fair, ethical, and accountable AI systems for real-world applications.