FinTech4Society is a team of academics, united by one common goal: to understand what AI can bring to the emerging field combining finance and technology known as Fintech. A main topic is the interplay between algorithmic decisions and the socio-economic environment, as illustrated by the following examples:

1. Recent advances in natural language processing are used more and more in financial markets.
2. In some markets, financial institutions may have access to sophisticated algorithms, while households do not have such possibilities.
3. New educational technologies are gaining ground in industrial practices.
4. When new algorithms are developed, privacy of individuals may not always be adequately protected.

The following research questions are of particular importance:

1. How do outcomes of algorithms affect financial markets and the economy?
2. How does a machine think differently from a human and what are the consequences of this difference?
3. How does bias in machine learning and the underlying data affect outcomes?
4. How do economic agents value privacy and how does AI affect this valuation? 

Thanks to the various backgrounds of the team members, these questions will be tackled using a range of different methodologies, from AI techniques to empirical methods to theoretical analyses.