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 »
According to the results, there is an evidence of cultural bias for data science in Spanish language. The outcome of the consultation, which carried out on 12 April 2021, confirms that only 10 out of 23.771 datasets “speaks” Spanish.»
We have launched, within the open publishing platform «PubPub«, a research community in English language (its equivalent in Spanish too). The benefit is based on four pillars: 1) readers, 2) authors, 3) reviewers and 4) journals. (This is based in OpenSource software). As part of the Knowledge Futures Group, we’re committed to making PubPub open
OpenAccess Publication System: welcome to OpenScience Leer más »
The aim is to give a general overview of different legal regimes having an impact on the planning, development and deployment of Artificial Intelligence systems.
Legal boundaries and AI: an overview of the ecosystem Confirmation Leer más »
La conectividad y el tratamiento masivo de datos son dos pilares esenciales para el desarrollo de estos sistemas, los cuales, a su vez, introducen riesgos de seguridad y privacidad que deben ser tratados adecuadamente.
The complexity of acting against cybercriminal internet domains was discussed; also on the techniques used in cybercrime… Information and detailed well-explained was offered by INTERPOL members, on how to detect and act in most cases.
INTERPOL: Impact of COVID-19 on Financial Crimes, webinar Leer más »