Data Ethics

By Thursday April 30th, 2020 July 17th, 2023 Uncategorized

Data Ethics

In this line of work, we explore the ethical and social implications of the use of data science and its effects on privacy, transparency, equity and human rights, in addition to exploring tools for an ethical and responsible use of data.

Data ethics has been defined as a branch of applied ethics that describes the value judgments and approaches we adopt when generating, analyzing and disseminating data (Data Ethics Framework, UK Government, 2018)

GobLab has integrated data ethics content into its Big Data for Public Policy Certificate Program and two continuing education courses (Data Science Project Scoping and Data Ethics). It coordinates a research group at UAI and carries out publications, events and projects in the field.

Our Progress

Algorithmic Transparency Research

The thesis “Ethics and algorithmic transparency: is the use of information communicated to citizens?” seeks to understand the treatment given by public institutions to the algorithms involved in the making of decisions that influence citizens. To this end, requests for access to public information were made for seven cases of algorithm use in the public sector. Researcher: Sara Seselovsky.

Data Ethics Research Group

The research group was created in 2019 and is coordinated by GobLab. It periodically brings together researchers and academics from different disciplines of Universidad Adolfo Ibáñez who are interested in the subject in order to share the progress of their research and formulate joint projects. If you would like to be part of it, write to

Publication: "Ethical Data Management”

More and more public and private actors are asking themselves how to scale up their impact through the use of technology. At the same time, the use and management of the personal data of millions of people is of concern to citizens, and there is a sense of urgency about the need to protect the security and privacy of the used data. What measures can be taken and what is the risk of not taking them? How can the public sector manage the data responsibly? This document provides frameworks on ethical data management and the importance of consent, a compendium of best practices and a roadmap with concrete steps for responsible data management by the public sector. See publication.

Publication: "Transparency and Algorithmic Responsibility for Artificial Intelligence”

The paper presented below contains the results of the “Transparency and Algorithmic Responsibility for Artificial Intelligence” workshop organized by the School of Communications and Journalism and GobLab UAI, both from Universidad Adolfo Ibáñez, and the Ministry of Science, Technology, Knowledge and Innovation. The workshop was developed around three questions on how to face the ethical challenges of AI, which is to be contributed to the National Policy. See publication.

Responsible use of AI for public policy: Project formulation manual

The AI is a very powerful tool that can help solve complex problems, as long as it is contextualized within the public policy problem that it seeks to solve, and the ethical and legal problems involved in the application of automatic decision-making tools are addressed. This manual is part of a series of documents and tools aimed at guiding policymakers and their technical teams in mitigating the challenges inherent in AI-based decision support systems and in promoting their responsible adoption. This manual is intended to help those responsible for formulating projects with AI-based support systems to carry out their planning and design, as well as to subsequently lead their execution and monitoring. See publication.

Technologies, Policies and Society Seminar

This academic space is dedicated to reflection and discussion on the social and cultural implications of bulk data analysis, the effects of the digital transformation of the public sector, the emergence of new digital spaces and the growing use of algorithms. Its objective is to contribute from an interdisciplinary perspective to the critical study of the relationship between society and technology, highlighting the ways in which it shapes our daily practices and experiences, challenges our theoretical and methodological assumptions, questions what we understand by government and public value, encourages the strengthening of public policies and raises ethical reflections on justice or privacy.

Based on these themes, the intention of the seminar is to promote an academic and expert dialogue among various disciplines and institutions. Therefore, the challenge is how to theoretically and empirically understand these phenomena and critically evaluate the best way to study them in practice.

It is organized by GobLab, the Doctorate in Political Processes and Institutions, and the Social Media Culture Laboratory.


Algorithms, Work, View

This presentation reflects on the relationship among machine learning algorithms, the automation of visual perception and the transformations of the sphere of work in contemporary capitalism. See More.

Artificial Intelligence, Ethics and Inequality

AI technologies increasingly play a central role in the organization of social life. Over the past two years, we have seen more and more evidence that these technologies may also perpetuate and exacerbate algorithmic discrimination. Corporations, technologists and policymakers alike have resorted to “AI Ethics” to remedy this situation. See More.


Research Associate

Daniel Loewe

PhD in Political and Moral Philosophy, Eberhard Karls Universität Tübingen, Germany, 2001.

Bachelor of Philosophy, Pontificia Universidad Católica de Chile, 1994.
His areas of expertise are political philosophy, moral philosophy and ethics, with a special emphasis on egalitarian theories, multiculturalism, liberal theories, animal ethics, environmental ethics and international justice theories.
GobLab Director

María Paz Hermosilla

Master of Public Administration, NYU. Director of GobLab UAI, Academic Director of the Big Data for Public Policy Certificate Program.

María Paz Hermosilla is the founder and director of GobLab UAI, the innovation lab of the School of Government at Universidad Adolfo Ibáñez in Chile. GobLab UAI focuses on the use of data science to improve public policy and management. She has a Master of Public Administration degree from New York University. She is the Academic Director of a certificate program in Big Data and Public Policy, as well as a professor and researcher in Data Ethics. She was appointed by the Chilean Ministry of Science as a member of the expert advisory committee in charge of creating a national Artificial Intelligence strategy. María Paz is also a member of the Advisory Committee for the Quality, Transparency and Impact of Public Spending, created by the Ministry of Finance. She is a consulting fellow for The Governance Lab at NYU. A former public servant, she led the redesign of citizen information services and open data efforts at the Ministry of Public Works.
FIC Academic

Leopoldo Bertossi

Leopoldo Bertossi holds a B.A., M.A. and Ph.D. in Mathematics from Pontificia Universidad Católica de Chile (PUC).

His research has focused on the areas of computational logic, knowledge representation and data management. Currently, his main research interests are in the areas of data science, machine learning, statistical relational learning, explainable artificial intelligence, causality in data management, knowledge representation and reasoning under uncertainty, data quality, data management for business intelligence and answer-set programming.

He is Professor Emeritus of the School of Computer Science at Carleton University (Ottawa, Canada), Senior Computer Scientist at RelationalAI Inc. (Berkeley, USA) and Senior Researcher at the Millennium Institute for Foundational Research on Data (IMFD).

He is a former professor at the Faculty of Mathematics and Engineering of PUC (until 2001), visiting professor at the Universities of Toronto and Wisconsin-Milwaukee, and guest researcher at the Technical University of Vienna, Technical University of Berlin, Marseille (Luminy), Calabria and Bolzano-Bozen. In addition, he was President of the Chilean Society of Computer Science (SCCC).

Research Associate

Romina Garrido

Lawyer, Universidad de Valparaíso, Master of Law and New Technologies, Universidad de Chile.

Diploma in Computer Law. Certified in Leadership and Strategy in Cybersecurity by Florida International University, United States. She has collaborated since 2008 in the Ibero-American Data Protection Network and is the founder of the Datos Protegidos NGO. She is a specialist in personal data protection, has taught various courses and seminars in Chile and abroad, and currently advises the public and private sector. In 2019, she was a finalist in the Leading Lawyers Ranking in the Data Protection category. She was also named an Outstanding Woman in Cybersecurity by the Chilean Cybersecurity Alliance.
PhD student

Rodrigo González

Doctoral student in Political Processes and Institutions at Universidad Adolfo Ibáñez.

Sociologist from Pontificia Universidad Católica de Chile; Master of Contemporary Thought and diploma in Qualitative Methods for Social Research by Universidad Diego Portales. He is currently developing his doctoral project on the relationship between algorithms and social norms.
Research Assistant

Laura Bavestrello

Bachelor of Philosophy (Pontificia Universidad Católica de Chile) and master’s candidate in the program "Global Rule of Law and Constitutional Democracy" (Universitat de Girona and Università degli studi di Genova).

Diploma in Social Policy Management from Universidad de Concepción and master’s candidate in the program "Global Rule of Law and Constitutional Democracy" at Universitat de Girona and Università degli Studi di Genova. She worked as a research assistant in the project "Ethical Data Management" of the Inter-American Development Bank and as an intern in the Division of Studies of the Supreme Court. She has also developed additional research on legal theory and in the area of public policy.
Research Assistant

José Pablo Lapostol

Bachelor of Legal and Social Sciences, Universidad de Chile.

Bachelor of Legal and Social Sciences, Universidad de Chile.
He has been a speaker at national and international conferences on philosophy, law and new technologies.

Assistant in the project FONDECYT Nº 11170230 "Social Bases of Self-respect as a Metric of Social Justice". He is currently developing research on intelligent contracts and the relationship between ethics and law in the programming of artificial intelligence systems.

Research Assistant

Sara Seselovsky

Journalist from Universidad Adolfo Ibáñez and Master of Corporate Communication.

Journalist from Universidad Adolfo Ibáñez and Master of Corporate Communication.
She is currently working on her thesis “Ethics and Algorithmic Transparency: Is the use of information communicated to citizens?”


Monday October 14th, 2019

Director of GobLab UAI participates in seminar on business ethics and artificial intelligence

The seminar "Ethical challenges for the company against the fourth industrial revolution", organized by ESE Business School of the Universidad de los Andes. (more…)
Thursday June 20th, 2019

How to manage data ethically?

A proposal for ethical data management developed by the social sector of the Inter-American Bank was announced at the facilities of the Ministry General Secretariat of the Presidency (more…)