TITLE:
Securing Predictive Psychological Assessments: The Synergy of Blockchain Technology and Artificial Intelligence
AUTHORS:
Rocco de Filippis, Abdullah Al Foysal
KEYWORDS:
Blockchain Technology, Artificial Intelligence, Psychological Assessments, Machine Learning, Data Security, Health Informatics
JOURNAL NAME:
Open Access Library Journal,
Vol.11 No.11,
November
7,
2024
ABSTRACT: The integration of blockchain technology with artificial intelligence (AI) offers transformative potential for enhancing psychological research, diagnostics, and interventions. This study investigates the synergy between blockchain and AI to address critical issues of data security, privacy, and integrity in psychological assessments. A systematic literature review was conducted, utilizing databases such as PubMed, IEEE Xplore, Google Scholar, and PsycINFO, to synthesize relevant studies from 2010 to 2023. Additionally, a simulated psychological assessment environment was created to validate the practical application of these technologies. The findings reveal that blockchain significantly enhances the security and privacy of AI-generated psychological data, fostering more reliable, transparent, and patient-centred practices. However, the study critically examines potential risks, including blockchain centralization and data quality issues, and underscores the importance of considering stakeholder values in IT system design. This research fills gaps in the existing literature by providing novel insights into the intersection of blockchain and AI, proposing future research directions, and emphasizing the need for regulatory frameworks and technological advancements to fully realize their potential in psychology. The findings contribute significantly to advancing ethical standards, data security, and patient privacy in psychological care, offering actionable recommendations for researchers and practitioners.