Constantin Brîncoveanu
I’m a PhD candidate in Information Systems⤴ at Goethe University Frankfurt, designing the socio-technical foundations of Human-Centric AI.
My work bridges technology, economics, and psychology. I explore how we can align intelligent systems with human values and ecological limits.
From designing fairer pricing models for sustainable mobility to building trustworthy AI financial co-pilots, I develop artifacts that empower users. A core focus of my recent work is challenging the Autonomy Paradox, ensuring that as systems get smarter, they enhance our agency rather than replace it.
This website is where I share my work and thoughts. Here you will find my Research, ongoing Notes, and a collection of Tools I have built.
When I’m not analyzing data, I enjoy time away from the screen, conquering bouldering walls, contemplating my next move on the chessboard⤴ , or discovering new music.
Recent Content
- No Labels, No Problem?
- An explainable, unsupervised anomaly detection system for Ambient Assisted Living that addresses the challenge of unlabeled data and the need for trust.
- Designing Hyper-Personalized Financial Co-Pilots
- A hyper-personalized financial co-pilot designed to build trust by grounding a Large Language Model's advice in a user's unique goals.
- Giving Up Control to Gain It Back
- An experimental study investigating whether delegating control to a proactive AI agent can paradoxically increase a user's digital sovereignty.
- The Privacy-Utility Trade-Off in AI
- A systematic literature review investigating the conceptualization of the privacy-utility trade-off in the context of Artificial Intelligence.
- Illustrating Wear-Based Dynamic Leasing
- A demonstration of the Fair-Wear Pricing Model (FWPM), showing how IoT data can create fairer, more sustainable automotive leasing contracts.
- Bridging the Digital Divide
- A frugal and inclusive forecasting service designed to bridge the digital divide in sustainable energy consumption by supporting manual data entry.
- Designing Fair and Sustainable Leasing
- A planned study using conjoint analysis to determine consumer preferences for fair, sustainable, and data-driven leasing contracts.