A recent article published in Computer Weekly describes discusses a paper by IIIM Managing Director Kristinn R. Thórisson, titled “The Future of AI Research: Ten Defeasible ‘Axioms of Intelligence’“. The paper, which he co-authored with Henry Minsky, son of AI pioneer Marvin Minsky and co-founder of Leela AI, details why contemporary methodologies in AI will not lead to general machine intelligence, and outlines the principles for charting a new course for the research field. 
Published in Proceedings of Machine Learning Research vol. 192, the paper charts a visionary course for the field of AI, stating that:
“…to create autonomous self-contained systems that can rival human cognition—machines with ‘human-level general intelligence’ […] calls for a new kind of system that unifies in a single architecture the ability to represent causal relations, create and manage knowledge incrementally and autonomously, and generate its own meaning through empirical reasoning and control.”
(Thórisson & Minsky, 2022, p. 6)
The Computer Weekly article describing the paper and its main message, which the author says may lead to future machines with general intelligence. Contemporary AI approaches, according to the paper’s authors, are limited in that “… the current focus on deep neural networks is hampering progress in the field.”
“Being exclusively dependent on statistical representations – even when trained on data that includes causal information – deep neural networks cannot reliably separate spurious correlation from causally-dependent correlation,” says Thórisson. “As a result, they cannot tell you when they are making things up. Such systems cannot be fully trusted. … The only way to address the challenge is to replace top-down architectural development methodologies with self-organising architectures that rely on self-generated code. We call this ‘constructivist AI’.”
(Pat Brans, Computer Weekly)
Related article:
Computer Weekly: “IIIM Could Revolutionize AI”
