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)
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.
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 email@example.com
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.
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.
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.
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).
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.
She is currently working on her thesis “Ethics and Algorithmic Transparency: Is the use of information communicated to citizens?”