Modernity begins when space and time are separated from the practice of life and each other. Thus, it can be theorized as distinct categories and mutually independent of the strategy of action.
Zygmunt Bauman, 1999 ("Liquid Modernity")
AI & Ethics
With the question "Can machines think?" the mathematician Alan Turing proposed the 'game of imitation' demonstrating that, because we humans organize ourselves by conventions, categories, patterns, it is possible to make a machine simulate the act of thinking, in a game of questions and answers.
The study of AI and its ethical consequences has the challenge of analyzing the invisible aspects presented on every project that claims to foresee problems and present suggestions for decision making.
AI predictive models are commonly seen with an enthusiasm that overshadows inaccuracies, technical and logistical deficiencies in the healthcare area.
Crediting AI with the ability to generate a 'cognitive representation of the world' that will avoid replication of values understood as harmful to the social body, such as the perpetuation of injustices and prejudices, remains an ambition for the development of a “ super artificial intelligence.” Such ambitions represent a romanticization of the world and its technological destiny.
In practice, if an expert system to detect fraud in a financial transaction can be efficient and not present ethical problems, image recognition involving humans tends to be susceptible to errors with great impacts.
AI has been an ongoing laboratory for understanding human intelligence. The rationality that defines it, a 'thematic park' (Sloterdijk, 2011) where the most intimate motivations are anchored in emotions (Damasio, 2012) cultivated by experience (phenomenological, ontological, post-phenomenological).
If understanding AI means understanding human intelligence, we are in the open sea, subject to turbulence, which no 'disciplinary' boat can navigate.