I work across frontier AI governance, technical evaluation, public-sector AI, and democratic resilience.

A source-linked, evolving catalogue of frontier AI evaluations for researchers, policy analysts, assurance teams, and evaluators. It separates evaluation origin, paper, implementation, protocol, evidence reach, and downstream claims rather than collapsing them into a universal score.

• Website: https://fronteraeval.org/
• Indexable catalogue: https://fronteraeval.org/evaluations/
• Repository: https://github.com/apolmig/fronteraeval

A synthetic reference population and benchmark substrate for evaluating and designing socially grounded AI systems for Spain.

• Dataset: https://huggingface.co/datasets/apol/spain-reference-personas-frontier
• Archival DOI: https://doi.org/10.5281/zenodo.20113558
• Hugging Face DOI: https://doi.org/10.57967/hf/8742

@dataset{guerrero_manchon_2026_spain_reference_personas_frontier,
  author    = {Guerrero Manchón, Miguel},
  title     = {Spain Reference Personas Frontier: Synthetic Population and Benchmark Substrate for AI Systems in Spain},
  year      = {2026},
  publisher = {Hugging Face and Zenodo},
  version   = {0.1},
  doi       = {10.5281/zenodo.20113558},
  url       = {https://huggingface.co/datasets/apol/spain-reference-personas-frontier}
}

• Frontier AI evaluation and governance
• Human agency, manipulation, and democratic resilience
• Public-sector AI strategy and deployment
• Synthetic populations and socially grounded evaluation
• AI education and public-interest AI