Imagine your AI assistant not just scheduling meetings but also navigating complex social situations, strategically revealing personal details to deepen connections without jeopardizing your privacy. That’s the intriguing premise behind new research exploring the delicate balance between privacy and self-disclosure in AI delegates. Researchers found that people are generally more comfortable with AI handling professional interactions than personal ones. This makes sense—we’re more willing to let AI take the reins when efficiency is paramount, like booking appointments or responding to work emails. But when it comes to family matters or close friendships, the lines blur. The study dives into designing an AI that understands these nuanced preferences, incorporating a multi-agent framework where different AI modules collaborate to assess the conversational context, retrieve relevant private information (only when appropriate!), and craft responses that align with both your social goals and privacy settings. The system considers the sensitivity of the information, the relationship dynamics, and even societal norms before deciding what to reveal. Early tests are promising, showing that this strategic approach to self-disclosure builds rapport without oversharing. This innovative approach is a significant step towards AI that can truly represent us in a social world, forging connections while respecting our privacy boundaries. However, more research is needed, especially when considering interactions with multiple people at once, where the complexity of conversation requires even smarter decision-making from AI.