We need to keep AI on a leash, as over-reliance on AI agents can lead to issues like introducing bugs or security vulnerabilities.

We need to manage transparency and control while using AI, ensuring users can trust the AI's actions on their behalf.

When using AI agents, it's crucial to evaluate the security risks associated with third-party services accessing company data, especially in light of existing automation practices.

The introduction of AI challenges the foundational trust in institutions, as people may struggle to differentiate between human and AI interactions, impacting their trust in data security.

The reliability of AI systems is a major concern as we transition from consumer applications to mission-critical systems like healthcare and defense.

People trust ChatGPT a lot, which is interesting because AI can hallucinate, and it should be a technology that users are cautious about.

While AI can automate many tasks, it is not yet reliable enough to handle critical decisions without human oversight.

The stakes are higher when AI has access to sensitive information and systems, making safety a critical concern.

Even as AI takes over routine sales tasks, human accountability remains essential for maintaining quality and trust in customer interactions.