Archive · 2026-01-02
AI ethics on Friday, 2 January 2026
5 items published this day, across 1 categories.
Research (5)
Agentic information systems
Abstract Recent advancements in artificial intelligence (AI) have catalyzed the emergence of agentic information systems (IS), which exhibit autonomous behavior and advanced cognitive capabilities. Unlike traditional IS, which functioned primarily as reactive tools supporting humans, agentic IS can make decisions independently, act in unstructured environments, and even delegate tasks to humans. This paradigm shift fundamentally transforms the human-IS relationship, questioning the long-standing
From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens
Generative AI (GAI) promises superior analytics and agility in strategy work, yet organisations struggle to move beyond pilots towards routinised decision inputs. This study investigates how GAI becomes embedded in strategic decision-making (SDM) through a qualitative single-case analysis of a global multi-brand group, based on 27 semi-structured executive interviews triangulated with internal documents and industry reports. Structured inductive coding yields a process model identifying enablers
Evidence-based production framework for herbal medicine regulation in Indonesia
This narrative review synthesizes 2015–2025 evidence on evidence-based production (EBP) of herbal medicines with emphasis on advanced production technologies, omics-enabled authentication, quality by design (QbD), and regulatory harmonization relevant to Indonesia. We map how in vitro root culture, bioreactor scale-up, elicitation/metabolic engineering, and nanotechnology address supply variability and improve consistency; how DNA barcoding/metabarcoding and metabolomics with chemometrics underp
Improving Clinical Diagnostics and Patient Care through Artificial Intelligence and Biosensor Technologies
This perspective analyzes the substantial advantages of Artificial Intelligence (AI) and machine learning (ML) in improving the efficacy and precision of biosensors, facilitating accurate detection of diverse physiological signals. Moreover, it emphasizes contemporary developments in biosensor technology and their uses in medical diagnosis, stressing their ability for early disease detection and continuous monitoring. The study also addresses major barriers to more widespread use, such as the la
The continued influence of AI-generated deepfake videos despite transparency warnings
Advances in artificial intelligence (AI) have made it easier to create highly realistic deepfake videos, which can appear to show someone doing or saying something they did not do or say. Deepfakes may present a threat to individuals and society: for example, deepfakes can be used to influence elections by discrediting political opponents. Psychological research shows that people's ability to detect deepfake videos varies considerably, making us potentially vulnerable to the influence of a video