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All Journal Lex Publica Journal of Advanced Health Informatics Research
Efendi Lod Simanjuntak
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Computer Science & IT Control & Systems Engineering Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences

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The Role of AI in Health Research: A Policy Review of Higher Education Foundations Yuris Tri Naili; Efendi Lod Simanjuntak; Anatoly Kostruba
Journal of Advanced Health Informatics Research Vol. 2 No. 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i2.295

Abstract

The integration of Artificial Intelligence in health research has transformed data analysis, predictive modeling, and personalized treatment strategies. However, its rapid adoption presents regulatory, ethical, and institutional challenges, particularly in higher education foundations that oversee health research. This paper examines policies governing AI-driven health research, focusing on regulatory frameworks, ethical guidelines, and institutional policies that shape AI applications in academia. At the global and national levels, regulations such as the EU AI Act and World Health Organization guidelines set standards for AI safety, transparency, and data protection in health research. Despite these frameworks, challenges persist, including data privacy concerns, algorithmic bias, and inconsistent ethical oversight. Ethical frameworks like the Ethical Regulatory Framework for AI emphasize accountability, fairness, and continuous monitoring to ensure responsible AI deployment. Higher education institutions play a crucial role in developing AI governance frameworks that balance innovation with compliance. However, inconsistencies in institutional policies create gaps in regulatory enforcement and ethical standards. Addressing these issues requires harmonized policies, interdisciplinary collaboration, and proactive stakeholder engagement. This paper highlights the role of AI in optimizing research methodologies, funding allocation, and regulatory compliance while discussing emerging challenges and future directions for AI-driven health research governance.
The Convergence of Classical Punishment in Money Laundering: Follow the Money Principle Using Blockchain Approach Efendi Lod Simanjuntak; Trinaili, Yuris; Purwono; Md Said, Muhamad Helmi
Lex Publica Vol. 12 No. 1 (2025)
Publisher : APPTHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58829/lp.12.1.2025.298

Abstract

The application of corporal punishment to criminals is crucial for ensuring justice and legal certainty, as well as maintaining public order. However, in law enforcement regarding money laundering, there has been a shift in focus to asset recovery, based on the “follow the money” principle, which prioritizes the recovery of the proceeds of crime over punishing the perpetrator. This approach has the potential to cause disruption, as recovery of losses should only occur after the perpetrator is found guilty under criminal law. In the absence of adequate asset recovery regulations, blockchain can be a solution to strengthen the asset recovery process. This technology provides transparency and accountability in tracking asset flows and ensures data permanence. Blockchain enables more efficient and secure asset recovery, supporting a faster recovery process, and reducing the potential for compromise. Reconciling asset recovery approaches with corporal punishment is crucial for creating a balance in the justice system that goes beyond maintaining peace.
Co-Authors Anatoly Kostruba Md Said, Muhamad Helmi Purwono Trinaili, Yuris Yuris Tri Naili