ERC Starting Grant · 2025
The Ethics of Synthetic Data in the Age of Machine Learning and AI
SYNDATA develops a novel approach to understanding the ethical consequences of synthetic data for contemporary societies. Machine learning algorithms and AI models such as Gemini and GPT-4 are increasingly used to generate data (called ‘synthetic data’), which is in turn used to train other algorithmic models. This is leading to transformations in social and political life, because synthetic data embody a promise to address an array of ethical challenges associated with AI, such as the lack of ethnic diversity and gender representation in large training datasets, in addition to issues of privacy and confidentiality in sensitive datasets. In short, if some data cannot be collected in the…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.