This work is being expanded to activity prediction, which is useful for assessing user habits and behaviours leading more accurate and comprehensive nudging. Nudging itself would also be improved through user feedback. While initially, users would be encouraged through generic nudges, over time, A/B testing and other techniques will help improve effectiveness. If an appropriate feedback metric could be found, this could eventually become an AI task.
Myko plans using AI as we expand beyond transportation and general habits into consumption tracking. While the preference for debit/credit cards over payment apps in the west makes this more difficult, we believe that it should still be fairly simple to recognize trips where certain classes of items are bought (likely limited to food to begin with) and get the user to snap a photo or manually enter their purchase list. We would use image recognition in conjunction with life cycle analysis to create a consumption profile that could give users a better idea of the impact of their diet, and what alternatives might exist.
AI can potentially play an important role in user governance of our platform since we cannot expect users to monitor data use in real time. Instead, we imagine that AI agents might be deployed to represent a set of user preferences and have already done some thinking along these lines in relation to AI-DAO (distributed autonomous organization) governance of the blockchain.