Authenticity supports the development of next generation AI through its rigorous surveys of the human phenomena engineers must replicate to transition the technology from its current, narrow version to a general formulation. Its stock includes studies of human intelligence, common sense, and heuristics, 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 benchmarks to evaluate current 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 engender a more intelligent application of client resources, increase the chances of achieving client objectives, and support the bottom line.
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