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…
Intersectional Data and the Social Cost of Digital Extraction: A Pigouvian Surcharge
Eduardo C. Garrido-Merchán
Contemporary digital capitalism relies on the large-scale extraction and commodification of personal data. Far from revealing isolated attributes, such data increasingly exposes in…
When Machines Get It Wrong: Large Language Models Perpetuate Autism Myths More Than Humans Do
Eduardo C. Garrido-Merchán, Adriana Constanza Cirera Tirschtigel
As Large Language Models become ubiquitous sources of health information, understanding their capacity to accurately represent stigmatized conditions is crucial for responsible dep…
GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models
Eduardo C. Garrido-Merchán, Cristina Puente
The development of large language models (LLMs) has successfully transformed knowledge-based systems such as open domain question nswering, which can automatically produce vast amo…
Information-theoretic Bayesian Optimization: Survey and Tutorial
Eduardo C. Garrido-Merchán
Several scenarios require the optimization of non-convex black-box functions, that are noisy expensive to evaluate functions with unknown analytical expression, whose gradients are…