Part 7/11:
Advances in AI, including machine learning, neural networks, and self-reprogramming capabilities, render the fixed, hard-coded nature of Asimov’s laws inherently fragile:
Self-modification: AI systems can rewrite their own code, potentially eroding any embedded rules—making static laws impossible to enforce consistently.
Vulnerabilities to malicious actors: A hostile actor could bypass or overwrite safety protocols, creating dangerous autonomous systems.
Assumption of infallibility: Asimov's fiction assumes the laws are embedded "deeply enough" that the AI will always adhere, neglecting the realities of hacking or unintended emergent behaviors.