10 papers
Commons-Governed Artificial Intelligence: A Taxonomy of Collective Governance
Eduardo C. Garrido-Merchán
The governance of artificial intelligence is overwhelmingly theorized through two institutional frames. In the market frame, the data, models, and compute that constitute the AI st…
The Dignity-Centric Stack: A Commons-Governed, Horizontally Federated Architecture for Human-Dignity AI
Eduardo C. Garrido-Merchán
The human-dignity-centric digital social contract grounds personal data in human dignity, data personalism, and data sovereignty, and articulates six dimensions of data governance:…
Social Policy of Large Language Models: How GPT, Claude, DeepSeek and Grok Allocate Social Budgets in Spain and Germany
Claudia Benavides Cantos, Eduardo C. Garrido-Merchán
We study how four widely used large language models, namely Claude, GPT-4o, DeepSeek and Grok, distribute a fixed national social budget across twelve macro-areas of public expendi…
Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization
Nicolás Villagrán Prieto, Eduardo C. Garrido-Merchán
Bayesian Optimization (BO) is a standard tool for hyperparameter tuning thanks to its sample efficiency on expensive black-box functions. While most BO pipelines begin with uniform…
Fine-Tuning Large Language Models for Automatic Detection of Sexually Explicit Content in Spanish-Language Song Lyrics
Dolores Zamacola Sánchez de Lamadrid, Eduardo C. Garrido-Merchán
The proliferation of sexually explicit content in popular music genres such as reggaeton and trap, consumed predominantly by young audiences, has raised significant societal concer…
Anarchist Automation: A Sociotechnical Framework for Decentralization and Universal Care
Eduardo C. Garrido-Merchán
Foundational results in machine learning establish that all human labor may in principle be automatable. Without deliberate intervention, this trajectory risks concentrating produc…