video1.0<iframe src="https://www.loom.com/embed/405f57c971b24b088d1868d83ec75087" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/405f57c971b24b088d1868d83ec75087-1695602515738.gif1016.9199999999989In this video, I discuss the steps to build trustworthy AI systems. I emphasize the importance of applying AI to solve real use cases and prioritizing societal benefit. I also highlight the need to design AI that augments human intelligence instead of replacing it. The video covers topics such as evaluating the need for AI, conducting impact studies, and implementing controls and fail-safes. Additionally, I discuss the significance of ongoing audits, testing strategies, and monitoring models in real-world usage. By following these steps, we can ensure the development of ethical and reliable AI systems.