
This is an unprecedented project in Chile for ethical data management. It will develop models and standards that incorporate ethical considerations for the procurement and use of automated decision-making algorithms at state agencies.
Ethical, Accountable and Transparent Algorithms
This is an unprecedented project in Chile for ethical data management. It will develop models and standards that incorporate ethical considerations for the procurement and use of automated decision-making algorithms at state agencies.

This project, executed by Universidad Adolfo Ibáñez, is part of the IDB Group’s fAIr LAC initiative, which seeks to promote the ethical and responsible application of artificial intelligence within the region, helping the public and private sector to improve the provision of social services and the development of social impact companies.
Under the title “Market Opportunities for Technology Companies: Public Procurement of Accountable, Ethical and Transparent Algorithms”, we will work on two fronts.
First, we will work on building capacities to incorporate ethical standards among technology companies that provide automated decision-making algorithms and artificial intelligence to the public sector. And second, we will encourage the public procurement system to consider ethical data management within their standards and purchasing requirements.
Among other initiatives, the project considers:
– Training programs for incorporating ethical aspects aimed at both public sector officials and representatives of technology companies.
– Execution of pilots for the public procurement of automated decision-making algorithms, with support throughout their implementation.
– Outreach activities that educate on ethical standards in data management both in the public and private sector.
Multisectoral Interdisciplinary Collaboration
The participants in the execution of this project are the School of Government and the Faculties of Engineering and Science and Liberal Arts of UAI, thanks to funding from the IDB Lab (the innovation laboratory of the Inter-American Development Bank), and in strategic partnership with ChileCompra, the Digital Government Division of the Ministry General Secretariat of the Presidency, the Ministry of Science, Technology, Knowledge and Innovation, and Magical, a business accelerator specialized in supporting digital startups.


Training (Spanish)
Health Insurance and Algorithms: An Ethical Overview
This article discusses the ethical implications of the use of algorithms and artificial intelligence in the field of health insurance. Big Data and Machine Learning have been revolutionizing various areas of human life in the last decade.
Curso de Formulación Ética de Proyectos de Ciencia de Datos 2022
El Proyecto UAI – BID de Algoritmos Éticos, Responsables y Transparentes convoca a servidores públicos a postular a la segunda versión del Curso de Formulación Ética de Proyectos de Ciencia de Datos, formación gratuita cuyo objetivo es adquirir metodologías y herramientas para diseñar un proyecto de ciencia de datos, incorporando consideraciones éticas.
AI Business Sessions
El proyecto Algoritmos Éticos, Responsables y Transparentes y Magical, aceleradora de negocios digitales, invita a empresas y startups que desarrollen o vayan a desarrollar sistemas basados en datos e Inteligencia Artificial, a una formación gratuita orientada a promover la gestión ética de los datos.
Curso de Formulación Ética de Proyectos de Ciencia de Datos 2021
El Proyecto UAI – BID de Algoritmos Éticos, Responsables y Transparentes, convoca al sector público a postular al Curso de Formulación Ética de Proyectos de Ciencia de Datos, cuyo objetivo es adquirir metodologías y herramientas para diseñar un proyecto de ciencia de datos, incorporando consideraciones éticas.
News (Spanish)

UAI y la DPP concluyen primera etapa de pilotaje algorítmico con estándares de ética de datos

ChileCompra presents unprecedented Standard Bidding Terms for algorithms and artificial intelligence with ethical requirements

UAI and Chilean Transparency Council lead pilot at public agencies for first regulations on algorithmic transparency in Latin America
Team
Journalist, Pontificia Universidad Católica de Chile, 2004.
Director of GobLab UAI, the public innovation lab of the UAI School of Government, whose mission is to contribute to the transformation of the public sector through data science. She is the Academic Director of the Big Data for Public Policies Diploma Course, where she teaches ethical data management. Her area of expertise is public innovation, specifically how technology transforms the government, and innovations such as Big Data, open data, crowdsourcing and labs. As a research fellow at The Governance Lab of New York University, she worked in projects with the Inter-American Development Bank and the Organization of American States. From 2012 to 2014, she was Head of the Citizen Relations and Information Management Unit of the Public Works Ministry, where she led the redesign of citizen assistance services and the transparency and open data initiatives. From 2010 to 2011, she worked at the Ministries of Energy and Economy. She is a consulting fellow at The Governance Lab in New York. She is part of two government advisory committees: the Committee of Experts for the creation of a National Artificial Intelligence Policy (Ministry of Science) and the Ministerial Advisory Committee for the Transparency, Quality and Impact of Public Spending (Ministry of Finance).
Since 2017, he has worked at the Center for Bioinformatics and Computational Biology (BIOS) as leader of the scientific computing area, manager of the HPC cluster and researcher on topics related to his lines of work.
Starting in 2020, he served at the ICT and Competitiveness Secretariat of the City of Manizales and at the company People Contact as a digital transformation and artificial intelligence consultant.
He is a professor, researcher and coordinator of the electronic engineering program at Universidad Autónoma de Manizales since 2014, where he leads the projects entitled: Towards an Understanding of Plant Genomes of Productive Interest Using Bioinformatics, Artificial Intelligence and HPC Techniques, COVID-19 Detection Using X-Ray Images from Convolutional Neural Networks, and Convolutional Neural Networks for a Steganalysis of Images in the Spatial Domain.
For more information, visit:
https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001614703&lang=es
Since 2014, he has worked as a software engineer at various private companies, leading multidisciplinary teams that include teachers, developers, designers, students and business units. During this period, he has specialized in digital transformation, continuous improvement, strategic planning and management of technological projects.
His areas of interest are software design and development, complex systems, artificial intelligence, social sciences and philosophy.
Videos
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Lanzamiento guía “Formulación ética de proyectos de ciencia de datos”
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Proyecto Algoritmos Éticos, Responsables y Transparentes
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Herramientas y experiencias globales para la adquisición pública de IA responsable
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Trailer Conversatorio Responsabilidad Algorítmica (agosto 2021)
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Conversatorio: Responsabilidad algorítmica y la IA que previene ceguera en diabéticos
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Webinar informativo: Curso de Formulación Ética de Proyectos de Ciencia de Datos
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¿Por qué son necesarios los algoritmos éticos? Ma. Paz Hermosilla, Directora GobLab UAI
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¿Por qué son necesarios los algoritmos éticos? Harald Beyer, Rector UAI
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¿Por qué son necesarios los algoritmos éticos? Carlos Jerez, Decano FIC
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¿Por qué son necesarios los algoritmos éticos? Yolanda Martínez, BID en Chile
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¿Por qué son necesarios los algoritmos éticos? Soledad Arellano, Decana (S) Esc. de Gobierno