José Hernández-Orallo is a Professor at the Technical University of Valencia, and was on sabbatical leave at CFI and Visiting Fellow at Clare Hall, Cambridge during the academic year 2017-2018. He received a B.Sc. and a M.Sc. in Computer Science from UPV, partly completed at the École Nationale Supérieure de l’Électronique et de ses Applications, and a Ph.D. in Logic and Philosophy of Science with a doctoral extraordinary prize from the Universitat de València. His academic and research activities have spanned several areas of artificial intelligence, machine learning, data science and cognitive science. He has published five books and about two hundred journal articles and conference papers on these topics. His research in the area of machine intelligence evaluation has been covered by The Economist, New Scientist, BBC News or Nature. His most recent book “The Measure of All Minds” addresses an integrated view of the evaluation of natural and artificial intelligence (Cambridge University Press, 2017).
Following his fellowship at CFI, Jose was made an Associate Fellow at the centre and continues to engage in research collaborations with the team in Cambridge.
The Animal-AI Testbed and Competition, Proceedings of Machine Learning Research 123:164–176, 2020 NeurIPS 2019 Competition and Demonstration Track. Editors: Hugo Jair Escalante and Raia Hadsell Abstract: Modern machine learning systems are still lacking in the kind of general intelligence and common sense reasoning found, not only in humans, but across the animal kingdom. Many animals are capable […]
AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. European Conference on Artificial Intelligence (ECAI), 2020. Abstract: AI safety often analyses a risk or safety issue, such as interruptibility, under a particular AI paradigm, such as reinforcement learning. But what is an AI paradigm and how does it affect the understanding and implications of the […]
AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI The Second AAAI / ACM Annual Conference on AI, Ethics, and Society, 26-28 January 2019, Hawaii USA Humans and AI systems are usually portrayed as separate systems that we need to align in values and goals. However, there is a great deal […]
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour Proceedings of 1st HUMAINT workshop, Barcelona, Spain, March 5-6, 2018 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 organized in the context of a […]
Surveying Safety-relevant AI Characteristics, Proceedings of SafeAI, Association for the Advancement of Artificial Intelligence conference (AAAI) (2019) The current analysis in the AI safety literature usually combines a risk or safety issue (e.g., interruptibility) with a particular paradigm for an AI agent (e.g., reinforcement learning). However, there is currently no survey of safety-relevant characteristics of […]
Exploring how human intelligence, consciousness, and cognition are augmented by the digital technologies we use. What effect is technology having on our intelligence? Socrates argued that it would have a diminishing effect, but recently much philosophical attention has focused on the ways in which technology enhances and extends human cognitive capacities. Even simple technologies, such […]
AI is progressing rapidly, both in terms of fundamental research and application to scientific and societal challenges. Thresholds are being passed, for example, in the accuracy of voice recognition and machine translation, leading to these technologies moving from being novelties to wide-scale, everyday use, with broad economic ramifications. Future possibilities may become pressing challenges quite […]
AI poses or intersects with a range of safety and security challenges, some of which are immediate and some of which may only manifest in future as more powerful systems are developed and deployed in a wider range of societal settings. Many of the most transformative impacts of AI, both in terms of potential benefits […]
