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
  • [1] Artificial intelligence and nursing: The good, the bad and the cautionary
    Gallagher, Ann
    NURSING ETHICS, 2024, 31 (06) : 995 - 998
  • [2] The potential and perils of generative artificial intelligence in psychiatry and psychology
    Thirunavukarasu, Arun J.
    O'Logbon, Jessica
    NATURE MENTAL HEALTH, 2024, 2 (07): : 745 - 746
  • [3] A classification framework for generative artificial intelligence for social good
    Crumbly, Jack
    Pal, Raktim
    Altay, Nezih
    TECHNOVATION, 2025, 139
  • [4] Artificial intelligence in medicine and research - the good, the bad, and the ugly
    Grech, Victor
    Cuschieri, Sarah
    Eldawlatly, Abdelazeem A.
    SAUDI JOURNAL OF ANAESTHESIA, 2023, 17 (03) : 401 - 406
  • [5] The good, the bad, and the algorithm: The impact of generative AI on cybersecurity
    Coppolino, Luigi
    D'Antonio, Salvatore
    Mazzeo, Giovanni
    Uccello, Federica
    NEUROCOMPUTING, 2025, 623
  • [6] ARTIFICIAL INTELLIGENCE FOR GOOD AND BAD IN CYBER AND INFORMATION SECURITY
    Kasakliev, Nikolay
    Somova, Elena
    Gocheva, Margarita
    MATHEMATICS AND INFORMATICS, 2024, 67 (01): : 82 - 94
  • [7] Generative artificial intelligence writing open notes: A mixed methods assessment of the functionality of GPT 3.5 and GPT 4.0
    Kharko, Anna
    McMillan, Brian
    Hagstrom, Josefin
    Muli, Irene
    Davidge, Gail
    Hagglund, Maria
    Blease, Charlotte
    DIGITAL HEALTH, 2024, 10
  • [8] Impact of Applicability Domains to Generative Artificial Intelligence
    Langevin, Maxime
    Grebner, Christoph
    Guessregen, Stefan
    Sauer, Susanne
    Li, Yi
    Matter, Hans
    Bianciotto, Marc
    ACS OMEGA, 2023, 8 (25): : 23148 - 23167
  • [9] How to assess the impact of generative artificial intelligence
    Hosking G.
    Network Security, 2023, 2023 (11)
  • [10] GENERATIVE ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY: IMPLICATIONS AND RECOMMENDATIONS FOR SCIENCE AND PRACTICE
    Melnyk, Maryna
    Malynoshevska, Alona
    Androsovych, Kseniia
    INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2024, 103 (05) : 188 - 206