General Artificial Intelligence

Authenticity supports the development of next generation AI through rigorous analyses of the human phenomena engineers are compelled to replicate to transition the technology from its current, narrow ("classical") iteration to a general formulation. Its stock includes studies of human intelligence, common sense, and thinking, comparisons of machine and human intelligence, and the investigation of correspondences between common sense and machine learning.

The goal of this work is to produce human (phenomenological and psychological) benchmarks to evaluate current AI technologies, close the gap between the "myth" and "reality" of AI, and prescribe empirical targets commensurate with progress. It is premised on the thesis that aligning technological expectations with technological capacities can affect a more intelligent application of client resources, increase the chances of achieving client objectives, and support the bottom line.