Part 12/12:

AI holds immense promise for transforming sensitive and high-stakes domains, but it is not infallible. Real-world failures serve as cautionary tales urging us to develop and deploy AI responsibly, emphasizing verification, human oversight, and sustainability. With innovations like Retrieval-Augmented Generation and dedicated tools like Nya Sati, the future of AI in sensitive sectors can be safer, more accurate, and ultimately more beneficial—if approached with wisdom and care.