The good, the bad, and the GPT: Reviewing the impact of generative artificial intelligence on psychology

被引:2
|
作者
Salah, Mohammed [1 ,2 ]
Abdelfattah, Fadi [2 ]
Al Halbusi, Hussam [3 ]
机构
[1] ASharqiyah Univ ASU, Coll Business Adm COBA, Management Dept, Ibra, Oman
[2] Modern Coll Business & Sci MCBS, Muscat, Oman
[3] Ahmed Bin Mohammed Mil Coll ABMMC, Doha, Qatar
关键词
Generative artificial intelligence; Psychology; Ethical considerations; Therapeutic personalization; Natural language processing;
D O I
10.1016/j.copsyc.2024.101872
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This review explores the impact of Generative Artificial Intelligence (GenAI)-a technology capable of autonomously creating new content, ideas, or solutions by learning from extensive data-on psychology. GenAI is changing research methodologies, diagnostics, and treatments by enhancing diagnostic accuracy, personalizing therapeutic interventions, and providing deeper insights into cognitive processes. However, these advancements come with significant ethical concerns, including privacy, bias, and the risk of depersonalization in therapy. By focusing on the current capabilities of GenAI, this study aims to provide a balanced understanding and guide the ethical integration of AI into psychological practices and research. We argue that while GenAI presents profound opportunities, its integration must be approached cautiously using robust ethical frameworks.
引用
收藏
页数:8
相关论文
共 50 条
  • [11] Primary school students' perceptions of artificial intelligence - for good or bad
    Walan, Susanne
    INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION, 2025, 35 (01) : 25 - 40
  • [12] Artificial Intelligence in English Language Teaching: The Good, the Bad and the Ugly
    Hockly, Nicky
    RELC JOURNAL, 2023, 54 (02) : 445 - 451
  • [13] The good and bad of generative AI
    Montel B.
    Computer Fraud and Security, 2023, 2023 (09):
  • [14] Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development
    Mannuru, Nishith Reddy
    Shahriar, Sakib
    Teel, Zoe A.
    Wang, Ting
    Lund, Brady D.
    Tijani, Solomon
    Pohboon, Chalermchai Oak
    Agbaji, Daniel
    Alhassan, Joy
    Galley, Jaklyn
    Kousari, Raana
    Ogbadu-Oladapo, Lydia
    Saurav, Shubham Kumar
    Srivastava, Aishwarya
    Tummuru, Sai Priya
    Uppala, Sravya
    Vaidya, Praveenkumar
    INFORMATION DEVELOPMENT, 2023,
  • [15] The Impact of Generative Artificial Intelligence on Education: A Comparative Study
    Elmourabit, Zohair
    Retbi, Asmaa
    El Faddouli, Nour-Eddine
    PROCEEDINGS OF THE 23RD EUROPEAN CONFERENCE ON E-LEARNING, ECEL 2024, 2024, 23/1 : 470 - 476
  • [16] The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics
    Chen, Dian
    Liu, Ying
    Guo, Yiting
    Zhang, Yulin
    ACTA PSYCHOLOGICA, 2024, 251
  • [17] Generative Artificial Intelligence
    Lee, Christoph I.
    Chen, Jonathan H.
    Kohli, Marc D.
    Smith, Andrew D.
    Liao, Joshua M.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2024, 21 (08) : 1318 - 1320
  • [18] Generative Artificial Intelligence
    Hawk, Heather
    Coriasco, Michael
    Jones, Jeffrey R.
    NURSE EDUCATOR, 2025, 50 (01) : 18 - 22
  • [19] Generative artificial intelligence
    Banh, Leonardo
    Strobel, Gero
    ELECTRONIC MARKETS, 2023, 33 (01)
  • [20] Artificial intelligence in medical writing-a good servant, but a bad master
    Majovsky, M.
    Cerny, M.
    Netuka, D.
    CESKA A SLOVENSKA NEUROLOGIE A NEUROCHIRURGIE, 2023, 86 (03) : 205 - 207