The trust issue of AI can be resolved by limiting its control through private keys and blockchains, allowing for the creation of guardrails and boundaries that cannot be surpassed without proper authorization mechanisms. This would provide users with a sense of security and improve the adoption of advanced AI technologies.
Jim discusses the concept of trust in relationships and how it can help individuals become more trustworthy. He provides an example of how trust can be applied in the context of emails from potential scammers.
The advent of digital entities raises the challenge of distinguishing them from human entities, as well as defining ownership and personhood in the digital realm. While digital signatures and proof of personhood may offer some solutions, it will be a complex and tricky question to address.
Nation-states have an extensive range of capabilities, making it difficult for even sophisticated businesses to protect against cyberattacks. Additionally, the consequences of taking legal action against a suspected nation-state attacker can be politically complicated.
The human bias towards associating intelligence with behaviors associated with the desire to survive often leads to assuming that robots too can exhibit intelligence when they showcase similar behaviors. Programming robots to have a sense of protecting their power source could add depth and grounding to their intelligence, enabling humans to respect and possibly evoke empathy for robots.
Kevin Mitnick discusses how trust was established in the early days of internet communities and how the emergence of cryptocurrency and the Tor browser have changed the landscape of cybercrime.