Identifying the true structure of the latent data generating process (causal world model) by learning from passive observation alone is impossible without reasonable priors, which transformers don’t have. This is why LLMs are brittle and can’t reliably do counter factual

"Intentamos hacer sistemas [de inteligencia artificial] más robustos que aguanten los ataques" - David Ríos Insua de sus aportaciones desde el análisis de riesgo adversario para enfrentar los riesgos de la IA en EL PAÍS Tecnología elpais.com/tecnologia/bra…

Nuestro trabajo sobre seguridad e IA en El País elpais.com/tecnologia/bra… AXA Research Fund SEIO Fundación AXA AIhub.CSIC CSIC Inst. de Cc. Matemáticas Javier Aramayona Gracias Pablo G Bejerano

Invited session done... organized by David Ríos Insua and Rafik Soyer at ISBA #isba2024 #venice Inst. de Cc. Matemáticas University of Pretoria

"Hay mucha prisa por incorporar los sistemas de IA. Pero no debe hacerse sin atender los problemas que pueden surgir y atajarlos", entrevista con Roi Naveiro Flores, quien hizo la tesis en Inst. de Cc. Matemáticas, en La Voz de Galicia lavozdegalicia.es/xlsemanal/pers…

#QuéSabemosDe Análisis de riesgos. David Ríos Insua David Ríos Insua y Roi Naveiro Flores Roi Naveiro Flores Colección coeditada con CSIC Divulga catarata.org/libro/analisis…

Workshop "Mathematical optimization and statistics for explainable and fair machine learning (Edition 2024) September 19th 2024, at IMUS imus.us.es/www/#actividad… Are you missing it???

Two Bayesian postdocs in Adversarial Machine Learning and Collective Behaviour at ICMAT supervised by me. Applications until December 31st through aihub.csic.es/en/allies-cofu… #postdoc #MachineLearning @ICMAT AIhub.CSIC

🔍We are looking for 2 postdoctoral researchers to join #ICMAT and develop projects in #bayesian adversarial #machinelearning and bayesian collective behaviour, under the supervision of David Ríos Insua ALLIES Cofund 🌱 #AI for SDGS AIhub.CSICℹ️aihub.csic.es/en/allies-cofu…

Geoff and John are a truly inspired choice for the Nobel Prize in Physics. Not only because they have done groundbreaking work for machine learning research, but also since this choice reflects an understanding that machine learning methods are changing how science is done (1/2)

#QuéSabemosDe Análisis de riesgos. David Ríos Insua David Ríos Insua y Roi Naveiro Flores Roi Naveiro Flores Colección coeditada con CSIC Divulga catarata.org/libro/analisis…

We are hiring for a postdoc position in Adversarial Machine Learning and Cybersec within the COFUND-ALLIES program aihub.csic.es/en/allies-cofu… AIhub.CSIC Inst. de Cc. Matemáticas AXA Research Fund RACiencias Academia Joven de España #ArtificialIntelligence #CyberSec #Risk

People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the

Industrial Revolution brought environmental pollution, and Artificial Intelligence brings information contamination. It is getting increasingly serious. Pollution destroys the environment, but contaminated information destroys civilizations.

If you are Canadian, European, Asian, Latin American, African or wherever, it's time to leave X, join millions of others who have now migrated to #BlueSky Find us here today: bsky.app/profile/youran…

Our paper, “Poisoning Bayesian Inference via Data Deletion and Replication,” has been accepted to #AISTATS25. In it, we propose “posterior attraction problems”, a new family of challenges in Bayesian robustness. Stay tuned for more.

This is how you generate unbounded amounts of wealth for you and cronies when you can manipulate the stock market at will.

¿Por qué bicimad tiene tantas estaciones vacías y bicing no, si los dos sistemas tienen 7000 bicis? No, no son los riders, sino dos fallos que han cometido en Madrid que tienen solución. Hilo va->

Daniel García Rasines, profesor del Departamento de Métodos Cuantitativos de CUNEF Universidad, ha sido galardonado con el Premio SEIO – Fundación BBVA a la mejor contribución metodológica en Estadística. El jurado ha reconocido su artículo “Splitting strategies for

Regardless of whether you plan to use them in applications, everyone should learn about Gaussian processes, and Bayesian methods. They provide a foundation for reasoning about model construction and all sorts of deep learning behaviour that would otherwise appear mysterious.