artificial intelligence

BEYOND CRIMINALISATION: DIGITAL VICTIMISATION AND VICTIM PROTECTION AGAINST AI DEEPFAKES IN INDONESIA

Artificial intelligence (AI) deepfakes enable the convincing imitation of an individual’s image or voice, creating risks that extend beyond the identification and punishment of offenders. This article examines how Indonesian law responds to digital victimisation and whether its remedies address reputational, psychologi...

[Design and implementation of a clinical trial image medical record desensitization system based on artificial intelligence technology].

OBJECTIVE: To designe a clinical trial image medical record desensitization system based on artificial intelligence technology and to conduct preliminary applications, achieving the protection of patient privacy and promoting the safe use of clinical image data in clinical trial projects. METHODS: The clinical trial im...

[Application of sample-efficient neural network in predicting postoperative facial profiles in skeletal class Ⅱ orthognathic patients].

OBJECTIVE: Soft tissue prediction is of great importance for the surgical design and patients ' satisfaction in orthognathic surgery. Previous studies either rely on elastic mechanical models, such as finite element which involves time-consuming computations, or using artificial intelligence method which require insati...

A Dataset for AI Literacy in Secondary Schools in Tanzania:

This dataset contains survey responses collected from 273 teachers in public secondary schools across Tanzania to assess different dimensions of teachers’ AI literacy and preparedness for the use of Artificial Intelligence in education. The dataset captures teachers’ demographic characteristics, including gender, age,...

Landauer as a Bounding Assumption: Information-Processing Energy Limits, the REC Accounting Gap, and What Cannot Be Concluded

Abstract. Claims that artificial intelligence approaches a planetary thermodynamic boundary routinely conflate four quantities: the Landauer lower bound per irreversible bit erasure (Q1), measured hardware efficiency η (Q2), physically available electricity (Q3), and renewable-energy-certificate accounting (Q4). This p...

Anatomical Review: Optimizing and Harnessing Workflows — A Section-by-Section Reading of Noguer i Alonso (2026), Task-Specific Combinations of Humans, Software, and AI Agents

This anatomical review systematically dissects Noguer i Alonso's (2026) framework for hybrid workflows integrating human decision makers (H), specified computational procedures (D), and adaptive artificial delegates (A). The paper advances a principled account of agentification, deagentification, automation, and harnes...

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

The advancement of artificial intelligence (AI) has reshaped drug discovery. AI-based models typically rely on molecular representations for prediction. However, the absence of physically grounded information in mainstream molecular representations not only limits the model performance in practical applications but als...

Explainable Decision Graphs for Trustworthy Autonomous Multi-Agent Systems

Addressing climate change in the age of artificial intelligence: three registers of human rights struggles

Consumer Responses to AI-Generated Marketing Content: Evidence from an Experimental Survey

The rapid development of generative artificial intelligence (AI) has created new opportunities for digital marketing, particularly in short video advertising. However, consumer acceptance of AI-generated advertisements remains uncertain because of the concerns over authenticity, trust and emotional connection. This stu...

THE CYBER-PHYSICAL INTELLIGENCE SECURITY FRAMEWORK FROM QUANTUM CRYPTOGRAPHY TO CRITICAL INFRASTRUCTURE PROTECTION A Unified Theory of Artificial Intelligence, Cybersecurity, Critical Infrastructure, Physics, Mathematics, and Cyber Law

The Cyber-Physical Intelligence Security Framework: From Quantum Cryptography to Critical Infrastructure Protection by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460734) establishes Cyber-Physical Intelligence Security as a groundbreaking academic field integrating artificial intelligence, cybersecurity,...

Using AI to Build Student Feedback Literacy and Leverage Assessment as a Learning Tool

This conceptual article explores practical ways in which college and university instructors can leverage artificial intelligence (AI) to support assessment as learning and develop students’ feedback literacy. Traditional assessment practices often focus on assessment for learning (informing instruction) or of learning...