This article accompanies a visual roadmap which you can view and download here. Why are roadmaps important? Roadmapping is a useful tool to allow us to look into the future, predict different possible pathways, and identify areas that might present opportunities or problems. The aim is to visualise different scenarios in order to prepare, and avoid scenarios that might lead to an undesirable future or even worse, disaster. It is also an exercise for visualizing a desired future and finding the optimal path towards achieving it. Introducing the roadmap This roadmap depicts three hypo ..read more

GoodAI and AI Roadmap Institute Tokyo, ARAYA headquarters, October 13, 2017 Authors: Marek Rosa, Olga Afanasjeva, Will Millership (GoodAI) Workshop participants: Olga Afanasjeva (GoodAI), Shahar Avin (CSER), Vlado Bužek (Slovak Academy of Science), Stephen Cave (CFI), Arisa Ema (University of Tokyo), Ayako Fukui (Araya), Danit Gal (Peking University), Nicholas Guttenberg (Araya), Ryota Kanai (Araya), George Musser (Scientific American), Seán Ó hÉigeartaigh (CSER), Marek Rosa (GoodAI), Jaan Tallinn (CSER, FLI), Hiroshi Yamakawa (Dwango AI Laboratory) Summary It is important to address the ..read more

Race Avoidance in the Development of Artificial General Intelligence Olga Afanasjeva, Jan Feyereisl, Marek Havrda, Martin Holec, Seán Ó hÉigeartaigh, Martin Poliak SUMMARY ◦ Promising strides are being made in research towards artificial general intelligence systems. This progress might lead to an apparent winner-takes-all race for AGI. ◦ Concerns have been raised that such a race could create incentives to skimp on safety and to defy established agreements between key players. ◦ The AI Roadmap Institute held a workshop to begin interdisciplinary discussion on how to avoid scen ..read more

Guest post by José Hernández-Orallo, Professor at Technical University of Valencia Two decades ago I started working on metrics of machine intelligence. By that time, during the glacial days of the second AI winter, few were really interested in measuring something that AI lacked completely. And very few, such as David L. Dowe and I, were interested in metrics of intelligence linked to algorithmic information theory, where the models of interaction between an agent and the world were sequences of bits, and intelligence was formulated using Solomonoff’s and Wallace’s theories of inductive ..read more

Guest post by Simon Andersson, Senior Research Scientist @GoodAI Executive summary Tracking major unsolved problems in AI can keep us honest about what remains to be achieved and facilitate the creation of roadmaps towards general artificial intelligence. This document currently identifies 29 open problems. For each major problem, example tests are suggested for evaluating research progress. Introduction This document identifies open problems in AI. It seeks to provide a concise overview of the greatest challenges in the field and of the current state of the art, in line with the “open resea ..read more

Guest post by Martin Stránský, Research Scientist @GoodAI Figure 1. GoodAI architecture development roadmap comparison (full-size) Recent progress in artificial intelligence, especially in the area of deep learning, has been breath-taking. This is very encouraging for anyone interested in the field, yet the true progress towards human-level artificial intelligence is much harder to evaluate. The evaluation of artificial intelligence is a very difficult problem for a number of reasons. For example, the lack of consensus on the basic desiderata necessary for intelligent machines is one of the p ..read more