Part 14/15:
Finally, Miikkulainen underscores critical technical challenges: How can we ensure trustworthiness? How do AI systems estimate their own confidence? How can we design multi-system interactions where AI critiques itself and collaborates for better outcomes? Developing AI that can explain reasoning, recognize hallucinations, and critique itself is essential for trust and safety.
He advocates for continued research into multi-agent systems, self-awareness, and decision accountability. Ensuring that AI understands its own capabilities and limitations is key to building systems that can be trusted to act ethically and responsibly.