AI is emerging as a frontier in behavioral science, with large language models (LLMs), particularly those powered by Generative Pre-training Transformer (GPT), showing human-like characteristics in risk, time, and social interaction preferences. Mei et al. pioneered research by applying classical behavioral assessments from economics and psychology to examine the behavioral traits of AI chatbots, specifically ChatGPT-3 and ChatGPT-4. They used a comprehensive database of 108,314 human subjects across 50 countries to compare human and AI decision-making. Other studies have explored the rationality and cognitive abilities of ChatGPT, signaling the emergence of "AI Behavioral Science," where human behavioral science methodologies are used to evaluate and engineer AI behavior. A behavioral science approach to AI should maintain a human-centric perspective. Understanding AI behavior can better assist human decision-making by reducing algorithm aversion. As AI evolves to mirror human behavior, this aversion may decrease. AI can also help correct human behavioral biases through systematic methods, such as nudging, leading to more rational decisions. Additionally, LLMs can serve as substitutes for human subjects in experiments, enabling more cost-effective policy evaluation and personalized policies. A comprehensive behavioral assessment framework is essential, incorporating dimensions relevant to significant decision contexts. Mei et al. used an economics-based framework, categorizing decisions into individual and interpersonal contexts. Individual decisions include direct consumption, uncertainty, intertemporal choices, and probabilistic judgments. Interpersonal decisions involve social preferences like altruism, trust, and reciprocity. Mei et al. found that ChatGPT consistently displays higher generosity than humans, though ChatGPT-4 exhibits strategic thinking. The integration of AI into society can significantly impact human behavior and culture. Algorithmic bias is a major concern, but advancements are being made to mitigate it. Excessive reliance on AI may lead to cognitive degeneration and homogenization of human behavior. However, AI can also foster equality by narrowing performance gaps and providing equal access to resources. Future research should focus on engineering AI behavior by introducing structures that capture fundamental behavioral parameters into training processes. AI can positively impact human behavior by promoting equality and providing equal opportunities. The study by Mei et al. highlights the potential of AI in fostering a more egalitarian worldview.AI is emerging as a frontier in behavioral science, with large language models (LLMs), particularly those powered by Generative Pre-training Transformer (GPT), showing human-like characteristics in risk, time, and social interaction preferences. Mei et al. pioneered research by applying classical behavioral assessments from economics and psychology to examine the behavioral traits of AI chatbots, specifically ChatGPT-3 and ChatGPT-4. They used a comprehensive database of 108,314 human subjects across 50 countries to compare human and AI decision-making. Other studies have explored the rationality and cognitive abilities of ChatGPT, signaling the emergence of "AI Behavioral Science," where human behavioral science methodologies are used to evaluate and engineer AI behavior. A behavioral science approach to AI should maintain a human-centric perspective. Understanding AI behavior can better assist human decision-making by reducing algorithm aversion. As AI evolves to mirror human behavior, this aversion may decrease. AI can also help correct human behavioral biases through systematic methods, such as nudging, leading to more rational decisions. Additionally, LLMs can serve as substitutes for human subjects in experiments, enabling more cost-effective policy evaluation and personalized policies. A comprehensive behavioral assessment framework is essential, incorporating dimensions relevant to significant decision contexts. Mei et al. used an economics-based framework, categorizing decisions into individual and interpersonal contexts. Individual decisions include direct consumption, uncertainty, intertemporal choices, and probabilistic judgments. Interpersonal decisions involve social preferences like altruism, trust, and reciprocity. Mei et al. found that ChatGPT consistently displays higher generosity than humans, though ChatGPT-4 exhibits strategic thinking. The integration of AI into society can significantly impact human behavior and culture. Algorithmic bias is a major concern, but advancements are being made to mitigate it. Excessive reliance on AI may lead to cognitive degeneration and homogenization of human behavior. However, AI can also foster equality by narrowing performance gaps and providing equal access to resources. Future research should focus on engineering AI behavior by introducing structures that capture fundamental behavioral parameters into training processes. AI can positively impact human behavior by promoting equality and providing equal opportunities. The study by Mei et al. highlights the potential of AI in fostering a more egalitarian worldview.