SUMMARY The II IDEAIS Seminar is part of the monthly seminars that aim to address topics related to the IDEAIS network: Intelligent assistants for spatial data infrastructures. These will be related to artificial intelligence, spatial data infrastructure, and spatial and spatio-temporal data management in general, with a focus on carrying out activities open to the…
ABSTRACT In this talk I will present two recent examples of my research on explainability problems over machine learning (ML) models. In rough terms, these explainability problems deal with specific queries one poses over a ML model in order to obtain meaningful justifications for their results. Both of the examples I will present deal with…
SUMMARY As part of the commemoration of the entry into force of the Transparency Law and the creation of the Council for Transparency (CPLT), this organization is holding a series of activities during Transparency Week. In this context, the international seminar “Informed Citizenship: An Actor for the Future of Democracy” will be held, featuring the…
SUMMARY: Boris Weisfeiler, a Russian mathematician, visited Chile in 1985, during his vacation period. He was last seen near Colonia Dignidad, but after that no information about his whereabouts was ever obtained again. His mathematical legacy remains alive to this day, as does the sorrow of his disappearance linked to the dictatorship. PRESENTERS: Hernán Fernández,…
ABSTRACT Online social networks are a rich resource of unedited user-generated multimedia content. Buried within their day-to-day chatter, we can find breaking news, opinions and valuable insight into human behaviour, including the articulation of emerging social movements. Nevertheless, in recent years social platforms have become fertile ground for diverse information disorders and hate speech expressions….
ABSTRACT: Tutorial “VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems” serves as an introduction to deep learning approaches to build visual recommendation systems. Deep learning models can be used as feature extractors, and perform extremely well in visual recommender systems to create representations of visual items. This tutorial covers the foundations of…
ABSTRACT I will introduce Generalized Energy Based Models (GEBM) for generative modelling. These models combine two trained components: a base distribution (generally an implicit model, as in a Generative Adversarial Network – GAN), which can learn the support of data with low intrinsic dimension in a high dimensional space; and an energy function, to refine…
SUMMARY: El Periodista, together with the Senate of Chile, the Undersecretariat of the Interior, the Public Observatory for Transparency and Algorithmic Inclusion (OptÏA), Derechos Digitales, Datos Protegidos, the Center for Public Systems (CSP) of Industrial Engineering at U. de Chile, the Challenges of Democracy Institute, the Millennium Institute for Foundational Research on Data (IMFD), and…
SUMMARY: This first episode of the sixth season of Café del Futuro will address the challenges of drafting a Magna Carta that integrates science as a fundamental factor in the country’s vision. This edition will feature an informal conversation with different actors from the knowledge ecosystem to address some of the questions on this topic:…
**SUMMARY:** In this episode of El Late de los Datos y la IA, our researcher Ricardo Baeza-Yates, together with Daniel Vak and Francisco Martorell, will talk about the limits of artificial intelligence and robotics with Álvaro Soto. **PARTICIPANTS:** Álvaro Soto, researcher at the Millennium Institute for Foundational Research on Data (IMFD) and faculty member of…
SUMMARY In this presentation, Cristobal Urenda, founder of IN and A10, describes his vision on the impact of data science on today’s markets. Steering clear of technical jargon and excess, he tells the story of how a career in software developed and eventually evolved into the world of analytics, based on a profitable business that…
SUMMARY: There are different tools that measure the audience of a media outlet’s content. How can media outlets reconcile that data with the pursuit of relevance in their news coverage and with their editorial line? How do audiences, through social media, influence editorial decisions? SPEAKERS: Marlén Eguiguren, director of EMOL. John Müller, journalist and columnist…
ABSTRACT: ACM’s Technology Policy Council and its Diversity and Inclusion Council invite ACM members and colleagues everywhere to a screening and public discussion of the acclaimed documentary Coded Bias and how those in computer science fields can address issues of algorithmic fairness. PANELISTS: Dame Prof. Wendy Hall, Regius Professor of Computer Science, University of Southampton…
SUMMARY Driven by the development and relevance of artificial intelligence in the international context and the discussion of a legislative branch committee in Chile, work has been underway since 2019 on an artificial intelligence policy addressing three main pillars: enabling factors for its development, uses and applications, and regulatory and ethical aspects. This presentation reviews…
SUMMARY Pablo Barceló, deputy director of the Millennium Institute for Foundational Research on Data (IMFD), will present at EDBT/ICDT 2021: 24th International Conference on Extending Database Technology as a keynote speaker. In his talk, he will address two recent examples of research on explainability problems in machine learning (ML) models. Broadly speaking, these explainability problems…