Karma Peiró | Ricardo Baeza-Yates
If we know that algorithms may have biases that can harm individuals or groups, why do we let them make decisions?
Beyond the boom in audio formats, voice and sound could configure a new relationship between humans and machines.
From a feminist perspective, we offer a critical analysis of the machine learning of artificial intelligences to find more equitable practices.
George Orwell’s vision of dystopia, "1984", describes situations similar to those of current times and advances ethical dilemmas still difficult to tackle today.
Through artistic practice, the Taller Estampa reflects on the discourse around artificial intelligence.
A conversation with mathematician Marcus du Sautoy about the Universe, the difference between Mathematics and Physics, AI and the relationship between science and literature.
Núria Gómez Gabriel
We reflect on how love relationships have been transformed by the introduction of new technologies and artificial intelligence.
José Ignacio Latorre
Computation’s possibility for self-learning is leading us towards a point of technological singularity where an artificial intelligence, capable of self-improvement, will surpass the limits of human intelligence.
In the future, we will be able to automate some of the tasks of government, and have tools that allow us to empower citizens and promote their participation.
Algorithms are not yet able to capture all the nuances of a human decision, so there are some decisions that, for the moment, only we can take.
In order to prevent machine learning algorithms from perpetuating social inequalities, public debate is necessary on which problems are automatable.