Part 9/12:
As systems become more autonomous, the importance of trustworthiness and ethical AI increases. Concepts such as responsible AI, data privacy, and cross-border governance are vital to prevent misuse or unintended consequences. The complexities of implementing AI in highly sensitive applications like healthcare or finance demand robust policies and transparency.
The speaker noted that security considerations—such as data piracy, system reliability, and user privacy—must be integrated from inception. The example of lengthy deployment times (up to a year) underscores the challenges of aligning innovation with regulatory and ethical standards.