成功整合AI的团队，都做对了这4件事

Core Insights - The introduction of AI tools in teams may lead to collaboration crises, undermining trust among members and causing self-doubt despite the promise of increased efficiency [1][2] - Leaders need to apply interpersonal collaboration principles to create new rules for healthy coexistence with AI, viewing AI integration as a team learning challenge rather than merely a technical issue [2][8] Trust Issues - Trust is crucial for team effectiveness, and AI can alter this dynamic by providing confident but incorrect information, leading to "trust ambiguity" where team members doubt both AI and their own judgment [3][4] - Long-term reliance on AI can weaken professionals' confidence in challenging AI suggestions, threatening psychological safety, which is essential for team learning and performance [3][4] Collaboration Disruption - AI can negatively impact key collaborative processes by reducing human members' effort and causing more coordination issues, ultimately lowering overall performance [5][6] - The presence of AI may disrupt communication and responsibility allocation, affecting interaction efficiency among team members [5][6] Solutions for AI Integration - AI integration should be viewed as a learning process, with leaders encouraging teams to explore AI's limitations and fostering an environment where questioning AI outputs is seen as a sign of good judgment [8][9] - Leaders should demonstrate a culture of curiosity about AI, sharing their own experiences with AI errors and promoting responsible use [10][12] Building Psychological Safety - Establishing psychological safety involves recognizing that mistakes can occur with AI and encouraging open discussions about AI's limitations and capabilities [10][13] - Teams should create spaces for human discussions that do not rely on AI, addressing concerns about AI replacing human value and emphasizing AI's role in enhancing human capabilities [13][14] Empowering Teams - Trust is essential for human-AI collaboration, and teams must operate in an environment where questioning AI performance is encouraged [15] - The success of AI integration should be measured not only by AI performance metrics but also by overall team effectiveness and the ability to optimize human-AI collaboration [15][16]