Abstract
This journal paper examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in shaping human psychology. It investigates how cognitive processes, emotional states, and social interactions are impacted by AI and ML technology. The use of AI and ML in psychology is covered in this study, covering social behaviour analysis, emotion identification, mental health assessment, and personalised therapies. It also explores the moral issues and prospective effects of AI and ML in comprehending and influencing human psychology. This paper emphasises the enormous influence of AI and ML on the comprehension and research of human psychology through a thorough analysis of pertinent literature and empirical evidence. This paper seeks to offer a thorough explanation of the profound effects that AI and ML have had on psychology. We will offer insight into the possible advantages, difficulties, and ethical issues that occur when integrating AI and ML into the study of human psychology by looking at recent developments and implementations of these technologies in psychological research. We will also look at how other areas of psychology, such as cognitive psychology, clinical psychology, social psychology, and neurology, have been impacted by AI and ML.
Graphical Abstract
[http://dx.doi.org/10.1109/TITS.2005.848368]
[http://dx.doi.org/10.1080/10503307.2021.1930242] [PMID: 34034627]
[PMID: 31002321]
[http://dx.doi.org/10.2196/43838] [PMID: 37307043]
[http://dx.doi.org/10.2196/mental.7785] [PMID: 28588005]
[http://dx.doi.org/10.1371/journal.pone.0266516] [PMID: 35476787]
[PMID: 33600346]
[http://dx.doi.org/10.2196/15901] [PMID: 32442152]
[http://dx.doi.org/10.1016/j.jad.2014.10.010] [PMID: 25451401]
[http://dx.doi.org/10.1609/icwsm.v8i1.14550]
[http://dx.doi.org/10.1145/2632048.2632100]
[http://dx.doi.org/10.1126/science.1165821] [PMID: 19213908]
[http://dx.doi.org/10.1007/s40123-019-0188-4] [PMID: 31161531]
[http://dx.doi.org/10.1016/j.jaad.2019.07.014] [PMID: 31306722]
[http://dx.doi.org/10.1145/3278721.3278779]
[http://dx.doi.org/10.1136/qshc.2008.028910] [PMID: 19812096]
[http://dx.doi.org/10.1145/2976749.2978318]
[http://dx.doi.org/10.1016/j.cmpb.2021.106357] [PMID: 34438223]
[http://dx.doi.org/10.1007/s10916-018-0934-5] [PMID: 29610979]
[http://dx.doi.org/10.1038/s42256-019-0088-2]
[http://dx.doi.org/10.1146/annurev-clinpsy-032816-044949] [PMID: 28375728]
[http://dx.doi.org/10.1016/j.cobeha.2017.07.005]
[http://dx.doi.org/10.2196/mental.5165] [PMID: 27150677]
[http://dx.doi.org/10.1016/j.invent.2020.100317] [PMID: 32289019]
[http://dx.doi.org/10.1111/j.1741-3737.2000.00927.x]
[http://dx.doi.org/10.1177/0956797614557867] [PMID: 25605707]
[http://dx.doi.org/10.1609/icwsm.v11i1.14891]
[http://dx.doi.org/10.1016/S2215-0366(15)00471-X] [PMID: 26803397]
[http://dx.doi.org/10.1016/j.beth.2012.01.001] [PMID: 22697453]
[PMID: 33831348]
[PMID: 17720136]
[PMID: 25401381]
[http://dx.doi.org/10.1177/1745691619872987] [PMID: 31747342]
[http://dx.doi.org/10.1001/jama.2017.11295] [PMID: 28973224]
[http://dx.doi.org/10.24018/compute.2023.3.1.85]
[http://dx.doi.org/10.1016/j.diabres.2020.108082] [PMID: 32057966]
[http://dx.doi.org/10.1139/apnm-2018-0064] [PMID: 29738268]
[http://dx.doi.org/10.1109/ACCESS.2020.2968537]
[http://dx.doi.org/10.3390/nu12010264] [PMID: 31968595]