About the Project
Money is not only numbers in a banking app. It is also emotions: joy from an impulsive purchase, anxiety before a large expense, shame afterward, or relief from a “reward.”
Most people notice these feelings too late — when the decision has already been made.
Neural networks (especially large language models developed between 2023 and 2025) are already capable of identifying emotional tone in text, detecting repeating narrative patterns, and even suggesting neutral reflection questions — without judgment and without telling users to “spend less.”
Research in human-AI collaboration for self-awareness (CHI, UIST, Affective Computing journals, 2024–2025) shows that this type of impartial feedback helps people recognize emotional triggers in spending more gently than self-analysis or conversations with financial coaches.
We will not teach participants how to connect AI to bank accounts or automate financial tracking. Instead, we will explore how publicly available AI capabilities (chatbots, text analysis) can be used as tools for observing personal habits and emotional patterns in a private and ethical way.
The project is strictly educational and does not promote products, services, or commercial solutions.
This project does not promote any AI tools, apps, financial services, investment platforms, or commercial applications.
The webinar is provided for educational purposes only. The invited expert participates as a guest contributor.