Director: Juan Antonio Lloret
Engineer Electronics and Automation. Member of Institute of Electrical and Electronics Engineers (IEEE): (IEEE Biometrics Council. IEEE Council on RFID. IEEE Nanotechnology Council. Computational Life Sciences, IEEE Computer Society Technical Community on. Security and Privacy, IEEE Computer Society Technical Community on. TechEthics Community, IEEE). Director of La Biblia de la IA – The Bible of AI"™. Director of Instituto tecnológico virtual de la Inteligencia Artificial para el español ™ (IAeñ). Member of the European AI Alliance. He has extensive experience in media management — among others, co-founder in 1997 of the newspaper El Noroeste, and its Director from 2005 to 2008 —, and as a book publisher (Ediciones Gollarín, co-founder and Director until 2008). Retired former professor of Computer Science and Telecommunications at the Department of Education of Madrid. |Linkedin. Orcid|
Transparency in artificial intelligence has become a question of provenance. Provenance tells you where a piece of content came from; it does not tell you why what it asserts was decided.
A number with no recorded reason may end up deciding for a patient Leer más »
The most difficult thing to build into an artificial intelligence is not accuracy. It is restraint. Contemporary systems are rewarded, structurally, for producing an answer — a label, a score, a confident sentence — because a fluent reply reads as competence and a hesitation reads as failure. Yet in the places where these systems will
Not yet: the third answer in machine intelligence Leer más »
Systems for diagnosis, prognosis and imaging have repeatedly been deployed or promoted on the strength of performance that proved fragile under independent testing. A model that performs well in the hospital where it was born has proven only one thing: that it works at home. Consider the most instructive failure in recent clinical AI. The
External validation is not a bureaucratic detail Leer más »
In 2019, a research team led by the physician and economist Ziad Obermeyer reverse-engineered a commercial algorithm already running quietly across the United States health system. The tool, sold by Optum, helped decide which patients — out of a population of roughly 200 million a year — would be flagged for extra medical attention. To
A medical algorithm must not confuse cost with health Leer más »
In an internal review that later became public, IBM’s Watson for Oncology was shown a patient much like thousands treated every day: a 65-year-old man with lung cancer who was also suffering from severe bleeding. The system recommended bevacizumab — a drug that carries an explicit warning against use in patients with severe hemorrhage, precisely
When AI sounds certain but should say “I do not know” Leer más »