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AI走进心理学,还应平衡效率与风险
Ke Ji Ri Bao· 2025-12-24 01:20
人的心灵是个复杂而精妙的宇宙,充满了千变万化的思绪、难以名状的情绪和深藏心底的动机。心 理学,作为探索这片内在宇宙的学科,其核心在于理解每一个独特个体背后鲜活的生命体验与情感连 接。 这项年度调查共有1742名心理学家参与。其中56%的心理学家,在过去12个月中至少使用过一次AI 工具辅助工作,高于2024年的29%;29%的心理学家表示,他们每月至少使用一次AI,这一比例是2024 年(11%)的两倍多。这些技术可以从多方面为心理学家提供支持,例如提供行政支持、增强临床护理 等。然而,随着心理学家对AI的了解日益加深,他们也越来越关注其潜在风险。超过九成(92%)的心 理学家对AI工具在心理学领域的应用表示担忧,最常见的忧虑包括:潜在的数据泄露、意想不到的社 会危害、输入和输出中的偏差、缺乏严格的风险缓解测试以及输出不准确或出现"幻觉"。美国心理学会 首席执行官小亚瑟·C·埃文斯博士表示,AI可以帮助缓解心理学家面临的一些压力。例如,提高效率和 改善医疗服务的可及性。但人工监督仍然至关重要,患者需要确认,他们依然可以信任医疗服务提供 者。 这种深刻的理解,往往依赖于人类特有的共情、直觉和建立在信任基础上的治 ...
AI走进心理学 还应平衡效率与风险
Ke Ji Ri Bao· 2025-12-24 00:36
Core Insights - The integration of AI into psychology is driven by the increasing demand for mental health services and the potential for AI to enhance efficiency while raising concerns about data security and ethical implications [1][2][6] Group 1: AI Usage in Psychology - Over 56% of psychologists have used AI tools in the past year, a significant increase from 29% in 2024 [2] - The most common uses of AI among psychologists include assisting with administrative tasks such as email writing (52%), content generation (33%), summarizing clinical notes (32%), and note-taking (22%) [3] - Only 8% of psychologists using AI apply it directly for clinical diagnosis, and just 5% use chatbots to assist patients [3] Group 2: Concerns and Risks - 92% of psychologists express concerns about the application of AI in psychology, with worries about data breaches, social harm, bias, lack of rigorous testing, and inaccurate outputs [2][6] - The need for clear guidelines is emphasized to ensure the responsible integration of AI, including obtaining informed consent from patients and assessing potential biases in AI tools [6] Group 3: Demand for Mental Health Services - A study indicates that the percentage of young individuals seeking mental health services has increased from 5.8% for those born in 1991 to 20.2% for those born in 2005, highlighting a nearly fourfold rise in demand [4] - The growing number of young patients suggests that traditional mental health services may be insufficient to meet current needs, necessitating the adoption of AI to improve service efficiency [5]