The relatively recent availability of large-scale psychometric data in accessible formats, alongside the rapid increase in CPU processing power, widespread accessibility and application of cluster and cloud computing, and the development of increasingly sensitive instruments for collecting biometric information has allowed big-data analytical and computational methods to expand the scale and scope of traditional psychometric areas of enquiry and modeling.
[citation needed] Another important subfield of computational science and, specifically, AI is what has been called psychometric artificial intelligence (PAI).
The goal of PAI is to put to the test the design and processing mechanisms proposed by AI researchers in order to get knowledge from both artificial and natural cognitive systems.
Recent investigations into these hard to measure constructs include work on collaborative problem solving,[7][8][9][10] teamwork, and decision making, among others.
Active areas of enquiry include cognitive, emotional, behavioral, diagnostic, and mental health issues.