The Digital Ethical Principles that should be in force in our society
I was reading articles about the Digital Service Act and the more I read about this regulation, the more I was remembering the Ethical Considerations of the Spanish Charter of Digital Rights. The Ethical Considerations group consisted of: Carissa Véliz, Paloma Llaneza, José Luis Piñar, Instituto Hermes, Simona Levi, Miguel Pérez Subías, and led by […]
The problem in our democracy is inequality, not tech giants.
What happened in the United States Capitol on January 6, 2021 is not a The consequence of social networks existing without legal boundaries. Nor is it a direct consequence of Trump being in power. Both, are a symptom of something much deeper going on in American society: INEQUALITY. Income and wealth inequality is greater in […]
How the main legal and ethical issues in Machine Learning arose and evolved
How the main legal and ethical issues in Machine Learning arose and evolved. What events in the past caused this massive invasion of our privacy that is leading to a manipulated society and monitored democracies. And, most importantly, what are the possible solutions.
Why is it difficult for citizens to adapt to contact-tracing apps.
Today we will be talking about the following issues: 1. Why it is being difficult for people in many countries to adapt to contact-tracing apps, and 2. Mention to our paper. The contact-tracing apps are being developed around the world with the idea of simplifying and speeding up the process of detecting new positive cases […]
Data brokers: data vampires that act silently, speculate with our information and manipulate our lives.
Do you know companies like Acxiom, Criteo, Equifax, Experian, Oracle, Quantcast, Tapad? I’m sure many of you don’t know them, but they know us very well. They are one of the main culprits of big organizations using profiles to make decisions that can seriously affect our lives, and our family’s.
How data quality impact on a discriminatory and biased outcome in Machine Learning.
Much is said about discriminations and biases through predictions and profiles made by Machine Learning algorithms, but very little is said about the quality of the data used to train that algorithm as one of the causes of those discriminations.
In this article I talk about the problem of using low data quality to train algorithms, and how organizations can be more transparent and ethical.
Scientific paper: “A socio-technical framework for digital contact tracing”
Virginia Dignum, Ricardo Vinuesa, Andreas Theodoru and I wrote a scientific paper, aimed at governments and decision makers, describing the ethical framework by which contact-tracing applications should be designed and developed. This ethical and social framework, if applied, guarantees the balance between the global equilibrium, which is that of governments and the effectiveness of the […]
Possible solutions to protect individuals’ privacy that companies can (must) implement.
What possible privacy solutions can organisations apply to protect their users? Is there any measure that is 100% efficient? Or is it about combining different measures?
How Zip Code is used for price discrimination.
Online pricing policies are generally not transparent to customers, and are based on parameters that we completely ignore. This opens up a series of opportunities for online price discrimination. Zip Codes and user’s location data are usually used to this end, and it is scientifically demonstrated.
In this article I have reviewed different price discrimination cases in different areas where you can realize that you actually are also a victim.