artificial intelligence

AI, Human Judgment, And Decision Reliability In High Tempo Military Operations

Artificial intelligence is increasingly embedded in modern military operations, influencing how commanders interpret sensor data, assess threats, and make rapid decisions under pressure. While AI improves situational awareness and accelerates operational tempo, it also introduces vulnerabilities such as fabricated outp...

On Artificial Intelligence as Assistive Technology in Archaeological Scholarship

In archaeological scholarship, the challenge of interpreting large amounts of fragmented evidence can be daunting. This paper will examine how artificial intelligence can assist in this process, mainly through examining visual evidence and classifying material evidence. Drawing from Trevor Paglen's argument of machine...

Artificial Intelligence in School Leadership

This study explores the attitudes, level of familiarity, and use of artificial intelligence (AI) tools among school principals in secondary education in Greece. The sample consists of 63 principals from public schools, with an average age of 53 years and extensive administrative experience. Using an online questionnair...

Intelligent Technologies for Urban Rail Transit Emergency Management

With the increasing urban rail transit network and the closer connection among operational subsystems, the potential influence range and management difficulty of emergencies have greatly increased. The current emergency management based on traditional methods has some shortcomings in real-time risk recognition, integra...

AI Washing and Stock Returns: Evidence from Chinese A-Share Firms

Artificial intelligence has become increasingly prominent in corporate disclosure, yet firms' AI-related narratives may not always be supported by observable investment in technology or human capital. Using AI-related keywords from annual reports, AI patents, and AI-related job postings of Chinese A-share firms from 20...

Development of a partial update of PRISMA 2020 to address the use of generative artificial intelligence tools in systematic reviews: study protocol

Theory of Attractor Horizons: Form-Bound Reachability of Intelligent Organizational Forms and the Limits of Human Cognition

The development of artificial intelligence is predominantly assessed in terms of increasing cognitive performance. Yet this comparison presupposes a yardstick that captures the diversity of possible forms of intelligence only incompletely. The Theory of Attractor Horizons advances the thesis that intelligent systems, b...

Adaptability of Lightweight AI Models for Embedded Deployment: A Case Study of an Agricultural Monitoring Robot

Many artificial intelligence programs require powerful computing hardware, whereas agricultural robots, drones, and smart cameras rely on small embedded devices with limited computing power, battery capacity, and heat dissipation. Lightweight models reduce parameters and computational costs while maintaining acceptable...

Review for metasurface holographic imaging enabled by artificial intelligence technology

Metasurface holography provides a compact route for controlling amplitude, phase, polarization, and other degrees of freedom of electromagnetic waves, enabling highly integrated, multiplexed, and reconfigurable holographic systems. As device functionality expands toward broadband, multichannel, dynamically tunable, and...

Affective Bond Between AI-Generated Music and Human Listeners

Generative artificial intelligence is being applied to create music in an ever-widening range, but it has not been determined whether the results can effectively convey human emotions. A controlled-variable experimental design is used to explore the causal relationship between information density in prompts and listene...

Secondary School Teachers’ Interaction with Artificial Intelligence Systems: A Qualitative Investigation of Usability, Trust, and the Transformation of the Pedagogical Role

This research explores secondary education teachers" perceptions regarding the integration of Generative Artificial Intelligence (GenAI) into instructional practice. Through semi-structured interviews with a sample of ten (10) educators from diverse academic backgrounds, the study examines three core pillars: interacti...

Reverse Prompt Engineering in Generative AI: A Baseline for Deepfake, Deception and Disinformation Mitigation

This paper presents a position and baseline synthesis of Reverse Prompt Engineering (RPE) as a defensive capability, and synthesises representative RPE frameworks while explicitly delineating the evidentiary limits of prompt recovery, attribution, and content provenance.