565 citations · 908 across the 35 of their papers we have counts for
5 papers · 1 filter
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them
Fernando Martínez-Plumed, José Hernández-Orallo
Item response theory (IRT) can be applied to the analysis of the evaluation of results from AI benchmarks. The two-parameter IRT model provides two indicators (difficulty and discr…
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo +3
Given one or two examples, humans are good at understanding how to solve a problem independently of its domain, because they are able to detect what the problem is and to choose th…
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work
Enrique Fernández-Macías, Emilia Gómez, José Hernández-Orallo +4
This paper presents a multidisciplinary task approach for assessing the impact of artificial intelligence on the future of work. We provide definitions of a task from two main pers…
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Emilia Gómez, Carlos Castillo, Vicky Charisi +23
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was org…
Finite Biased Teaching with Infinite Concept Classes
Jose Hernandez-Orallo, Jan Arne Telle
We investigate the teaching of infinite concept classes through the effect of the learning bias (which is used by the learner to prefer some concepts over others and by the teacher…