Vol. 2 No. 1 (2026): AI & Ethics

Abstract: Artificial intelligence (AI) is increasingly used in digital forensic workflows to support the analysis, interpretation, and reporting of large datasets. While this integration offers efficiency benefits, it also raises ethical concerns. This paper examines the weakening of evidence traceability in AI-assisted digital forensic workflows as a challenge in digital forensics and argues that reduced traceability threatens two core requirements of forensic practice: evidence credibility and responsibility attribution. Unlike conventional technical errors, traceability breakdowns may generate... [Read More]

Abstract: Artificial intelligence is increasingly embedded within public administration, shaping welfare allocation, migration control and regulatory enforcement. Existing debates on AI governance have primarily focused on bias mitigation, transparency and risk-based compliance. While these approaches have advanced oversight mechanisms, they remain largely oriented toward managing harm at the level of system performance. This article advances a distinct analytical claim: democratic exclusion in AI-mediated public decision-making is infrastructural rather than merely output-based. By... [Read More]

Abstract: The rapid advancement of Artificial Intelligence (AI) has accelerated its transition in education from conceptual debate to practical classroom implementation. As a pivotal stage in the formation of students’ cognitive structures, learning habits, and value orientations, middle school education occupies a particularly sensitive position in this transformation. Introducing AI at this level offers significant potential to enhance instructional precision and learning efficiency. At the same time, it raises critical concerns related to educational equity, the redefinition of teachers’... [Read More]

Abstract: This study proposes a three-stage AI-assisted intercultural EFL pedagogy model structured as experience–reflection–creation to address the persistent challenges of superficial cultural teaching and the separation between language learning and cultural awareness development. Grounded in activity theory and sociocultural theory, AI functions in this framework as both a transformative mediating tool and a cultural–cognitive partner, systematically reshaping instructional elements and guiding students from multicultural experience and critical comparative reflection to creative cultural... [Read More]

Abstract: This commentary uses the humanoid facial robot lip-motion generation study by Hu et al., published in Science Robotics, as a starting point to explore the broader cognitive, social, and ethical implications behind its technical achievements. By integrating a soft silicone facial structure, a ten-degree-of-freedom lip actuation system, and a self-supervised learning framework that combines a variational autoencoder with a facial action transformer, the study enables robots to learn natural lip trajectories directly from speech audio. This approach achieves notable improvements in visual... [Read More]