期刊名：AI

期刊主页：https://www.mdpi.com/journal/ai

生成式人工智能的快速迭代正推动人机关系从“自动化替代”向“深度协作”与“可问责中介”的范式转变。本专题汇集了发表于 AI 的系列研究，系统探讨了AI与人类在多元场景中的协作机制：从个体写作中的提示行为与信任校准、管理者采用AI决策的促进与障碍因素，到公共管理领域从自动化向人机协同演进的文献图谱；在垂直应用层面，涵盖了远程康复中个性化交互与人类监督的平衡、生成式AI利用认知偏见发动的网络攻击，以及视障导航中认知负载自适应的包容性设计。面向组织治理，研究提出了LLM增强型算法管理的三层架构以实现可解释性与可问责性，并揭示了医护人员对AI可解释性的真实需求在于支持临床推理而非建立信任。十项研究共同勾勒了人机协作从辅助工具向认知伙伴演进的前沿图景。

1. Teaming Up with an AI: Exploring Human–AI Collaboration in a Writing Scenario with ChatGPT

与AI联手：ChatGPT写作场景中人机协作的探索

https://www.mdpi.com/2673-2688/5/3/65

Luther, T.; Kimmerle, J.; Cress, U. Teaming Up with an AI: Exploring Human–AI Collaboration in a Writing Scenario with ChatGPT. AI 2024, 5, 1357-1376.

2. Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Systems in Decision Making: A Systematic Review

管理者采用AI决策系统的促进与障碍因素：一项系统综述

https://www.mdpi.com/2673-2688/5/4/123

Marocco, S.; Barbieri, B.; Talamo, A. Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Systems in Decision Making: A Systematic Review. AI 2024, 5, 2538-2567.

3. Artificial Intelligence Adoption in Public Administration: An Overview of Top-Cited Articles and Practical Applications

公共管理中人工智能的采用：高被引文章与实践应用概述

https://www.mdpi.com/2673-2688/6/3/44

Babšek, M.; Ravšelj, D.; Umek, L.; Aristovnik, A. Artificial Intelligence Adoption in Public Administration: An Overview of Top-Cited Articles and Practical Applications. AI 2025, 6, 44.

4. AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach

AI驱动的远程康复：这一变革性医疗模式的优势与挑战

https://www.mdpi.com/2673-2688/6/3/62

Calabrò, R.S.; Mojdehdehbaher, S. AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach. AI 2025, 6, 62.

5. Phishing Attacks in the Age of Generative Artificial Intelligence: A Systematic Review of Human Factors

生成式人工智能时代的网络钓鱼攻击：一项关于人类因素的系统综述

https://www.mdpi.com/2673-2688/6/8/174

Jabir, R.; Le, J.; Nguyen, C. Phishing Attacks in the Age of Generative Artificial Intelligence: A Systematic Review of Human Factors. AI 2025, 6, 174.

6. Biased by Design? Evaluating Bias and Behavioral Diversity in LLM Annotation of Real-World and Synthetic Hotel Reviews

设计所致偏见？LLM对真实与合成酒店评论标注中的偏见与行为多样性评估

https://www.mdpi.com/2673-2688/6/8/178

Voutsa, M.C.; Tsapatsoulis, N.; Djouvas, C. Biased by Design? Evaluating Bias and Behavioral Diversity in LLM Annotation of Real-World and Synthetic Hotel Reviews. AI 2025, 6, 178.

7. From Automation to Collaboration: Mapping AI–Human Interaction in Organizations Through Bibliometric Analysis

从自动化到协作：基于文献计量学的组织中人机交互研究图谱

https://www.mdpi.com/2673-2688/7/6/189

Abdul Khalek, E.; Macias, J.; Shabtai, I. From Automation to Collaboration: Mapping AI–Human Interaction in Organizations Through Bibliometric Analysis. AI 2026, 7, 189.

8. Designing Human-Centred Adaptive AI Navigation for Blind and Visually Impaired Individuals: A Cognitive Load-Aware Framework for Accessible Urban Mobility

面向视障人士的以用户为中心的认知负载自适应AI导航设计：一种面向无障碍城市出行的认知负载感知框架

https://www.mdpi.com/2673-2688/7/6/206

Herrero-Martín, P.; García-Ballestero, Á. Designing Human-Centred Adaptive AI Navigation for Blind and Visually Impaired Individuals: A Cognitive Load-Aware Framework for Accessible Urban Mobility. AI 2026, 7, 206.

9. LLM-Augmented Algorithmic Management: A Governance-Oriented Architecture for Explainable Organizational Decision Systems

LLM增强型算法管理：面向可解释组织决策系统的治理导向架构

https://www.mdpi.com/2673-2688/7/3/102

Hinov, N.; Ivanova, M. LLM-Augmented Algorithmic Management: A Governance-Oriented Architecture for Explainable Organizational Decision Systems. AI 2026, 7, 102.

10. Towards HCXAI: Explainability Preferences of Healthcare Professionals

迈向以人为中心的可解释人工智能（HCXAI）：医护人员对AI可解释性的偏好

https://www.mdpi.com/2673-2688/7/7/247

Cadena-Yanez, M.; Bernardini, A.; Gómez, M. Towards HCXAI: Explainability Preferences of Healthcare Professionals. AI 2026, 7, 247.

期刊介绍

主编：Prof. Dr. Kenji Suzuki, Tokyo Institute of Technology

AI（ISSN 2673-2688）是一个国际性、跨学科的开放获取英文学术期刊，聚焦人工智能领域的前沿研究，广泛覆盖机器学习、自然语言处理、智能机器人等所有AI子方向。期刊现已被ESCI（Web of Science）、Scopus和DOAJ等权威数据库收录，并展现出强劲的学术影响力：最新影响因子已达6.5，年增长30%，在JCR“计算机科学：跨学科应用”和“计算机科学：人工智能”两个领域中均位列Q1；CiteScore为7.3，2025年SCImago期刊排名（SJR）亦位于人工智能领域Q1。

2025 Impact Factor：6.5

2025 CiteScore：7.3

Time to First Decision：20.4 Days

Acceptance to Publication：5.6 Days