Ethical, Accountable and Transparent Algorithms

By Sunday February 7th, 2021 January 26th, 2024 PROJECTS GOBLAB

This is an unprecedented project in Chile executed by UAI with funding from the IDB Lab (IDB Group’s innovation lab) in alliance with partners from the public and private sphere.

PROJECT

This is an unprecedented project in Chile executed by UAI with funding from the IDB Lab (IDB Group’s innovation lab) in alliance with partners from the public and private sphere.

Its purpose is to install capabilities and standards to incorporate ethical considerations into the purchasing and utilization of artificial intelligence and automated decision algorithms in state agencies, as well as into the formulation and development of these solutions by technology providers.

Review the details of the agreement with IDB Lab and the documents associated with the project here

Products

Regulations, Tools and Guides

August 2022, in collaboration with Gobierno Digital (Digital Government)

Ethical Formulation of Data Science Projects Guide

January 2023, in collaboration with ChileCompra

Standard Bidding Terms for Data Science and AI Projects

Under development, in collaboration with Magical, IDB Lab and MinCiencia (Science Ministry)

Responsible Investment Tool: fAIr Venture

Under development, in collaboration with the Council for Transparency

General Instruction on Algorithmic Transparency

Pilots

for the Implementation of Ethical Standards

Public Bid

External Audit Service Based on Data

2022-2023, in collaboration with the Public Criminal Defender’s Office

Public Bid

Solution for the Selection of Service Providers to be Inspected under the Free Choice Modality

2022-2023, in collaboration with FONASA

Internal Development

Bringing Uncollected Benefits Closer to Citizens

2023, in collaboration with IPS

News

Más noticias

Team

Project director

María Paz Hermosilla

Master of Public Administration, NYU. Director of GobLab UAI, Academic Director of the Big Data for Public Policies Diploma Course.

Master of Public Administration, New York University, United States, 2016.
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).
Pilot Coordinator

Romina Garrido

Attorney from Universidad de Valparaíso and Master of New Technology Law from Universidad de Chile. Assistant Director of GobLab UAI.

Assistant Director of GobLab UAI. Diploma in Computer Law. Certified in Cybersecurity Leadership and Strategy by Florida International University, United States. She collaborates with the Ibero-American Data Protection Network since 2008 and is the founder of the Datos Protegidos NGO. She specializes in personal data protection, has taught numerous courses and seminars in Chile and abroad, and is currently an advisor for the public and private sector. In 2019, she was a finalist in the Leading Lawyers Ranking in the Data Protection category and was named an outstanding woman in cybersecurity by the Chilean Cybersecurity Alliance.
Ethnographer and Qualitative Researcher

Dusan Cotoras

Sociologist from Universidad Diego Portales, research assistant at Adolfo Ibáñez and external researcher of the nucleus on technoscience of Universidad de Chile.

Sociologist from Universidad Diego Portales. His lines of research include the study of innovation processes in modern societies and the development of an operational logic inspired by the field of cybernetics and the theory of information. In recent years, he has studied the conceptual status of images produced by algorithms and machine learning technologies. He has participated in projects focused on the ethnographic analysis of knowledge production practices in the world of innovation consulting and the scientific study of climate change in Chile. Prior to this, he collaborated in studies for public institutions such as Fundación Imagen de Chile or the National Innovation Council for Development. His teaching work specializes in qualitative research methods and the field of science and technology studies. He is currently a research assistant at Universidad Adolfo Ibáñez and external researcher of the nucleus on technoscience of Universidad de Chile.
Communications Manager

Ximena Poblete

Journalist from P. Universidad Católica de Chile. Consultant in Organizational Communications.

Journalist from P. Universidad Católica de Chile with a Diploma in Strategic Sustainability Management (PUCV, 2019) and another in Organizational Happiness (UAI, 2015), two key components for the integral management and understanding of organizational communications.
Postdoctoral Researcher

Reinel Tabares

PhD of Engineering - Computer Science Line, U. Autónoma de Manizales. Master of Engineering – Industrial Automation, U. Nacional de Colombia.

Reinel Tabares Soto is an Electronic Engineer from Universidad Nacional de Colombia, a Systems Engineer from Universidad de Caldas, Master of Industrial Automation from Universidad Nacional de Colombia and PhD of Engineering - Computer Science Line from Universidad Autónoma de Manizales. His academic work focuses on machine learning, data mining, high-performance computing, bioinformatics and modeling-simulation of dynamic systems. His master’s thesis was on parallel programming on heterogeneous architectures, and his doctoral thesis was about convolutional neural networks for a steganalysis of images in the spatial domain.

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

Investigador

Marcos Alonso

Doctor Europeo en Filosofía (UCM). Profesor Asistente en Universidad Adolfo Ibáñez, Departamento de Filosofía, Facultad de Artes Liberales.

Doctor Europeo en Filosofía, Universidad Complutense de Madrid, España, 2017. Sus áreas de investigación son la Bioética, Ética Aplicada, Filosofía de la Técnica y la Antropología Filosófica. Sus intereses se centran en algunos de los problemas éticos más relevantes de hoy en día, principalmente aquellos que tienen que ver con la relación entre la tecnología y la condición humana. Es también un especialista en el pensamiento de Ortega y Gasset, cuya filosofía ha utilizado para abordar cuestiones como la ecología o el transhumanismo. Ha publicado diferentes artículos sobre estas temáticas en revistas de prestigio.
Professor, School of Communications and Journalism

Arturo Arriagada

PhD of Sociology and Master of Media and Communications, London School of Economics. Associate Professor at the UAI School of Communications and Journalism.

At the UAI School of Communications and Journalism, he teaches and researches about digital work, platform economy and the role of algorithms in the organization of labor dynamics in the “gig economy". Director of Cultura Social Media (www.culturasocialmedia.com), a laboratory of digital communication studies belonging to the UAI School of Communications and Journalism. Director of the Fairwork project in Chile (fair.work), whose purpose is to research and promote good labor practices in the "gig economy”.
Professor, Faculty of Liberal Arts

Cristián Rettig

Doctor of Philosophy, University College London, 2018. MSc in Political Theory, London School of Economics. Bachelor of Philosophy, Pontificia Universidad Católica de Chile.

His areas of interest are analytical political philosophy, analytical philosophy of law, legal theory and metaethics. His work has been published in international journals such as the Journal of Social Philosophy, Prolegomena – Journal of Philosophy, and shortly, the Journal of Philosophical Research (2021). He has presented his work in international workshops at University College London, University of Manchester, University of Warwick, Universidad Autónoma de México, etc. He has taught seminars for master’s students at University College London. He is an active member of the “UK-Latin America (Analytical) Political Philosophy Network”. He’s an Assistant Professor at the Department of Philosophy of the Faculty of Liberal Arts since December 2017, where he teaches undergraduate and graduate courses.
Professor, UAI Faculty of Engineering and Science

Gonzalo Ruz

PhD in Machine Learning from Cardiff University, United Kingdom. Full Professor and Director of Research and Innovation at the UAI Faculty of Engineering and Science.

Electrical Civil Engineer and Master of Engineering Sciences with a major in Electrical Engineering from Universidad de Chile, and PhD from Cardiff University, UK. Full Professor and Research Director at the Faculty of Engineering and Science of Universidad Adolfo Ibáñez. His research lines include machine learning, evolutionary computation, data mining, genetic regulatory network models and complex systems. For more information, visit: https://gonzaloruz.com
Technical Project Assistant

Abigail Pizarro

Accountant Auditor and Engineer in Management Control from Universidad Autónoma de Chile

Accountant Auditor and Engineer in Management Control from Universidad Autónoma de Chile with more than 5 years of experience working in the financial-accounting field. Interested in the field of management and innovation in public policy with experience in telecommunications and wine-making companies.
Thesis Candidate

Gonzalo Brizuela

Computer Science Engineer, Diploma in Project Management and Data Scientist for IBM.

Computer Science Engineer, Diploma in Project Management, Data Scientist (IBM), Product Owner and Scrum Master. He is currently pursuing the Master’s in Engineering Sciences program at the University’s Faculty of Engineering and Sciences and developing his master’s thesis on the role of software engineering in the development of artificial intelligence and ethical software.

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.

Thesis Student

Wilfredo Concha

Attorney from Universidad Andina del Cusco. Graduate of the Master in Political Philosophy and Ethics of Universidad Adolfo Ibáñez.

Attorney from Universidad Andina del Cusco and graduate of the Master in Political Philosophy and Ethics of Universidad Adolfo Ibáñez. He specializes in political philosophy, ethics, journalism, public management, organic constitutional law and constitutional procedural law. Assistant professor of the Political Thought course at Universidad de Piura. Professional experience in legal journalism and legal press reports.
Junior Data Scientist

Mariana German

Completed studies of Civil Computer Engineering at Universidad Adolfo Ibáñez and thesis student of the UAI Master of Science in Data Science.

Completed studies of Civil Computer Engineering at Universidad Adolfo Ibáñez and current thesis student of the Master of Science in Data Science at the same university. Extensive experience in project management with a social focus with institutions such as the Superintendence of the Environment and the Municipality of Peñalolén. Experience and interest in database management and the applications of data science in public management. Teaching Assistant of the Formulation of Data Science Projects course of the School of Government.
Thesis Student

Nelson Salazar

Completed studies of Industrial Civil Engineering at UAI, major in IT Management. Student and thesis student of the UAI MSc in Data Science.

Completed studies of Industrial Civil Engineering with a major in IT Management at Universidad Adolfo Ibáñez. He is currently completing the Master of Science in Data Science at the same university as a qualifications method. He specializes in the area of technology and has experience in consumer technology media (as a technology analyst) and startups (as a data engineer).

Publications

Of Rules and Trust. How does bureaucratic accountability affect public servants' disposition toward algorithm use?

This thesis explores the relationship between bureaucratic accountability and their disposition toward utilizing algorithms in their decision-making processes. Drawing upon the literature on government accountability and aversion to algorithmic decision-making, it hypothesizes that the more public officials are aware of the chains of accountability they are tied to, the less favorable they will be to utilizing algorithms.

Biases associated with database structure for COVID-19 detection in X-ray images

Several artificial intelligence algorithms have been developed for COVID-19-related topics, one that has been common is the COVID-19 diagnosis using chest X-rays. This paper analyses 19 datasets of COVID-19 chest X-ray images, identifying potential biases.

Analysis of Ethical Development for Public Policies in the Acquisition of AI-Based Systems

The exponential growth of AI and its applications in different areas of society, such as the financial, agricultural, telecommunications, or health sectors, poses new challenges for the government’s public sector, mainly in regulating these systems. Governments and entities in general address these challenges by formulating soft laws such as manuals or guidelines. They seek full transparency, privacy, and bias reduction when implementing an AI-based system, including its life cycle and respective data management or governance.

Ethical Formulation of Data Science Projects Guide

Through a clear methodology and specific examples adjusted to the Chilean reality and regulations, this guide aims to provide valuable support in planning, formulating and developing decision-making or decision-making support systems based on artificial intelligence or algorithmic models in the public sector, preventing discrimination biases, lack of transparency or misuse of personal data, among other potential issues.

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.

Training

2023

Practical Implementation of Ethics in Data Science Course

Closed call for partner organizations

2022

Ethical Formulation of Data Science Projects Course

For public servants

More information

2021

AI Business Sessions

For startups and technology developers

More information

2021

Ethical Formulation of Data Science Projects Course

For public servants

More information

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