
Brief me

HUMAINT originated as a project within the JRC Centre for Advanced Studies bringing together JRC and external researchers to understand the impact of machine intelligence on human behaviour, with a focus on cognitive and socio-emotional capabilities and decision making.
The team is now well-established at the JRC, and focuses on a number of priorities related to AI;
- advancing the scientific understanding of machine and human intelligence,
- studying the societal and ethical impact of algorithms,
- defining methodologies for trustworthy AI,
- providing scientific contributions to EU AI policies.
This work addresses different types of AI systems, such as recommender systems, facial processing systems, conversational systems or automated driving systems. The JRC maps the opportunities these systems offer to different application domains, assesses risks that these systems bring to safety, fundamental rights and mental well-being, develops practical methodologies for trustworthy AI, evaluating and ensuring transparency, fairness and human oversight of those systems and studies the long-term impact of algorithms, such as the impact on children or mental health.
To explore HUMAINT's publications and preprints see our Google Scholar profile.
Featured content
Latest knowledge from this Project
Use case cards: a use case reporting framework inspired by the European AI Act
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Measuring and fostering diversity in Affective Computing research
More information
| Coordinated in | Europe |
| Originally Published | Last Updated | 20 Sep 2019 | 13 Jan 2026 |
| Knowledge service | Metadata | AI Watch |
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