How would you approach building proactive AI?

Focus on outlining a clear framework for developing proactive AI systems. Start by defining what "proactive AI" means in the context of your product or industry. Discuss the key components such as data collection, machine learning algorithms, and user interaction design. Emphasize the importance of user needs and ethical considerations in your approach. Consider potential use cases and how you would measure the success of the AI's proactive capabilities. Be prepared to address challenges like bias in data and the implications of decision-making autonomy.