Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

As documented in this special issue, all over the world hard choices must be made in education, government, business, and medicine. Intelligence tests, used intelligently and with appropriate ethical safeguards, are one tool of many that help make hard choices work out well, or at least better than the next-best alternative (Kaufman, Raiford,…

Complex, but specific, tasks--such as chess or "Jeopardy!"--are popularly seen as milestones for artificial intelligence (AI). However, they are not appropriate for evaluating the intelligence of machines or measuring the progress in AI. Aware of this delusion, Detterman has recently raised a challenge prompting AI researchers to evaluate their…

Watson's Jeopardy victory raises the question of the similarity of artificial intelligence and human intelligence. Those of us who study human intelligence issue a challenge to the artificial intelligence community. We will construct a unique battery of tests for any computer that would provide an actual IQ score for the computer. This is the same…

This study explores how a historical genius with learning disabilities (LD) used his giftedness to surmount his disabilities. This study compared biographical data of a historical genius with LD to geniuses without LD using the posthumous diagnostic methodology. Niels Bohr, J. Robert Oppenheimer, and Enrico Fermi were selected for investigation.…

Discusses the manifestations of the word "intelligence"; objects to linear measurements of intelligence by I.Q. tests. Cites evidence supporting the possibility of duplicating human intelligence by computer systems. Details the unique characteristics of human intelligence. (CS)