Intelligence Augmentation Upskilling Humans to Complement AI

The report discusses how AI is changing the division of labor in jobs, leading to a need for workforce development to focus on unique human skills. AI is proficient in calculation and prediction skills, but there is an increased demand for human judgment skills such as decision-making under uncertainty, ethics, and practical knowing. The concept of intelligence is defined as the disposition to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience. It is performance-based and dispositional, considering the ability to deploy capacities and the inclination to follow through. In a workplace context, intelligence can be divided into reckoning and judgment. Reckoning refers to calculative prediction and decision-making, while judgment is unbiased, grounded in ethics, and appropriate to the situation. AI excels in reckoning tasks with speed, accuracy, and data scale, while humans base their judgments on reckoning and other variables AI cannot factor. Human judgment and decision-making skills are considered a unique category, different from soft skills. Intelligence augmentation occurs when AI and humans work together to achieve greater performance than either can achieve alone. It is important for workforce development to prepare people for this new division of labor by focusing on the development of judgment skills rather than just reckoning skills.