A proposal outlines a method for creating personalized LLMs, termed 'Guardian Angels', aimed at enhancing productivity and securing personal data against emerging cyber threats. The concept advocates for emulating users' values to unify the user-agent relationship and build more effective AI collaborations.
The 'Guardian Angels' concept aims to create personalized LLMs that reflect individual users' values and preferences. This proposal emphasizes enhancing productivity and ensuring cybersecurity as powerful LLMs become widespread in society.
By aligning the agent's functionality closely with the user, the Guardian Angels approach seeks to minimize typical principal-agent problems found in AI interactions. Users would redefine their roles to focus on strategic decisions rather than operational tasks, similar to a CEO overseeing an organization.
The proposal accounts for the increasing sophistication of cyber threats by introducing methods for Guardian Angels to screen and manage communications. This includes protection against advanced attacks such as propaganda and phishing, thereby enhancing individual cybersecurity as part of a broader societal defense strategy.
Conventional prompt programming and in-context learning techniques are deemed insufficient for creating effective Guardian Angels due to limitations inherent in frozen models. Continuous learning and adaptation are necessary for these AI personal assistants to maintain relevance and security in a rapidly evolving digital landscape.
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A proposal outlines a method for creating personalized LLMs, termed 'Guardian Angels', aimed at enhancing productivity and securing personal data against emerging cyber threats. The concept advocates for emulating users' values to unify the user-agent relationship and build more effective AI collaborations.