As the field of artificial intelligence continues to advance, an area of focus for many researchers and enthusiasts is human intelligence. By studying the way the human brain works, we can gain insights into how to improve artificial intelligence. Here are seven papers on human intelligence that are a must-read for anyone interested in AI:

1. "The Nature of Intelligence" by Richard J. Haier - This paper provides an overview of various theories of intelligence and explores the question of whether it is possible to define and measure intelligence.

2. "The Psychology of Intelligence Analysis" by Richards J. Heuer Jr. - This paper examines the cognitive processes involved in intelligence analysis and provides insights into how analysts can avoid common biases and cognitive errors.

3. "The Flynn Effect: A Meta-Analysis" by James R. Flynn - This paper explores the phenomenon of the Flynn effect, which refers to the observation that IQ scores have been increasing over time. The paper presents a meta-analysis of studies on the Flynn effect and discusses possible explanations for it.

4. "The Neuroscience of Intelligence" by Richard J. Haier - This paper reviews the research on the neuroscience of intelligence, including studies on brain structure and function in relation to intelligence.

5. "The Cognitive Neuroscience of Working Memory" by Bradley R. Postle - This paper examines the cognitive neuroscience of working memory, which is the ability to hold information in mind for a short period of time. The paper discusses the brain regions and neural pathways involved in working memory and their relevance for understanding intelligence.

6. "Intelligence: Knowns and Unknowns" by Philip E. Vernon - This paper summarizes the state of knowledge on intelligence, including its definition, measurement, and biological and environmental determinants.

7. "Neuroplasticity and Human Intelligence" by Yaakov Stern - This paper explores the concept of neuroplasticity, which refers to the brain's ability to change and adapt in response to experience. The paper discusses the relevance of neuroplasticity for understanding individual differences in intelligence and for developing interventions to enhance cognitive function.

Overall, these papers provide a comprehensive overview of the current state of knowledge on human intelligence, including its definition, measurement, biological and environmental determinants, and neural substrates. By studying the findings of these papers, AI enthusiasts can gain insights into how to improve artificial intelligence by emulating the cognitive processes and neural mechanisms underlying human intelligence.