{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/fc58c642bf2543c7919b01e55ecd23cb\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/fc58c642bf2543c7919b01e55ecd23cb-1695601022418.gif","duration":450.8499999999997,"title":"7.2 Principles of Ethical AI","description":"In this video, I discuss the principles of ethical AI systems, focusing on fairness, accountability, transparency, and privacy and security. I explain the importance of these principles in mitigating risks, enabling responsible innovation, and maintaining public trust. Throughout the video, I provide examples and practical tips on how to ensure algorithmic fairness, establish accountability measures, promote transparency, and adhere to privacy and security best practices. By the end of the video, viewers will have a clear understanding of the core components of ethical AI and how to apply them in their own projects."}