Search Results (5)

Integrative frameworks such as ‘One Welfare’ and ‘One Biology’ address the interconnectedness of animal welfare, human wellbeing, and environmental conditions by emphasising systemic interactions and shared biological mechanisms across species. Although grounded in scientific evidence, these approaches risk conceptual anthropomorphisation, whereby human-centred assumptions, emotional narratives, or cultural norms influence interpretations of welfare, sentience, or sustainability. Such projections can undermine scientific objectivity, misrepresent species-specific needs, and weaken the frameworks’ applicability in research, policy, and practice. This paper critically examines how anthropomorphising concepts may arise within this context, distinguishing empirically supported biological continuity from unwarranted human-like attributions. It highlights the importance of precise language, operational definitions, and comparative evidence to safeguard conceptual integrity. While both frameworks are fundamentally non-anthropomorphic, careless language and human-centred assumptions can compromise their scientific rigour and ethical coherence. Avoiding conceptual anthropomorphisation is therefore essential to maximise their value for robust welfare assessment, policy development, and sustainable practice. Full article

Traditional rationalist and task-based models of intelligence obscure the diverse cognitive processes underlying performance by focusing on abstract reason and observable outcomes. This paper argues that Carl Jung’s typological theory provides a more systematic framework, defining intelligence as a structured system of interacting cognitive functions. Applying this model to Artificial Intelligence reveals that AI, too, requires a balanced development of these functions and its output depends on the dynamic interactions of functions. This perspective critiques “sociomorphing”—optimising for surface-level task performance—as an imbalanced approach. It concludes by redefining “anthropomorphising” as a design benchmark that uses the principles of human psychic balance to guide AI toward more integrated and functionally aware outcomes. Full article

Despite the increasing sophistication of autonomous vehicles (AVs) and promises of increased safety, accidents will occur. These will corrode public trust and negatively impact user acceptance, adoption and continued use. It is imperative to explore methods that can potentially reduce this impact. The aim of the current paper is to investigate the efficacy of informational assistants (IAs) varying by anthropomorphism (humanoid robot vs. no robot) and dialogue style (conversational vs. informational) on trust in and blame on a highly autonomous vehicle in the event of an accident. The accident scenario involved a pedestrian violating the Highway Code by stepping out in front of a parked bus and the AV not being able to stop in time during an overtake manoeuvre. The humanoid (Nao) robot IA did not improve trust (across three measures) or reduce blame on the AV in Experiment 1, although communicated intentions and actions were perceived by some as being assertive and risky. Reducing assertiveness in Experiment 2 resulted in higher trust (on one measure) in the robot condition, especially with the conversational dialogue style. However, there were again no effects on blame. In Experiment 3, participants had multiple experiences of the AV negotiating parked buses without negative outcomes. Trust significantly increased across each event, although it plummeted following the accident with no differences due to anthropomorphism or dialogue style. The perceived capabilities of the AV and IA before the critical accident event may have had a counterintuitive effect. Overall, evidence was found for a few benefits and many pitfalls of anthropomorphising an AV with a humanoid robot IA in the event of an accident situation. Full article

As India faced multiple waves of the pandemic, religious responses arose to accommodate and make sense of the situation. In the face of uncertainty, disease and death, people turn not just towards the medical sciences but also religion. The emergence of a new Hindu goddess, Corona Mātā/Coronavirus Mardhinī encapsulates people’s fear, faith, and devotion. Although the goddess is new, the tradition of disease goddesses is ancient. The Indian Subcontinent has a long history of mother goddesses who have been protecting their devotees from diseases such as smallpox, fever, plague, etc. This paper attempts to examine the emergence of Corona Mātā in the historical context of these ‘protective mothers’. On one hand, historically, these goddesses have emerged as a result of interaction between Brahmanical religion and regional practices. On the other hand, these disease-centred goddesses can also be seen as the result of fear and faith. This paper will analyse the location of Corona Mātā in the ever-evolving pantheon of Hindu deities in the context of a 21st-century pandemic. Full article

European Apis mellifera and Asian Apis cerana honeybees are essential crop pollinators. Microbiome studies can provide complex information on health and fitness of these insects in relation to environmental changes, and plant availability. Amplicon sequencing of variable regions of the 16S rRNA from bacteria and the internally transcribed spacer (ITS) regions from fungi and plants allow identification of the metabiome. These methods provide a tool for monitoring otherwise uncultured microbes isolated from the gut of the honeybees. They also help monitor the composition of the gut fungi and, intriguingly, pollen collected by the insect. Here, we present data from amplicon sequencing of the 16S rRNA from bacteria and ITS2 regions from fungi and plants derived from honeybees collected at various time points from anthropogenic landscapes such as urban areas in Poland, UK, Spain, Greece, and Thailand. We have analysed microbial content of honeybee intestine as well as fungi and pollens. Furthermore, isolated DNA was used as the template for screening pathogens: Nosema apis, N. ceranae, N. bombi, tracheal mite (Acarapis woodi), any organism in the parasitic order Trypanosomatida, including Crithidia spp. (i.e., Crithidia mellificae), neogregarines including Mattesia and Apicystis spp. (i.e., Apicistis bombi). We conclude that differences between samples were mainly influenced by the bacteria, plant pollen and fungi, respectively. Moreover, honeybees feeding on a sugar based diet were more prone to fungal pathogens (Nosema ceranae) and neogregarines. In most samples Nosema sp. and neogregarines parasitized the host bee at the same time. A higher load of fungi, and bacteria groups such as Firmicutes (Lactobacillus); γ-proteobacteria, Neisseriaceae, and other unidentified bacteria was observed for Nosema ceranae and neogregarine infected honeybees. Healthy honeybees had a higher load of plant pollen, and bacteria groups such as: Orbales, Gilliamella, Snodgrassella, and Enterobacteriaceae. Finally, the period when honeybees switch to the winter generation (longer-lived forager honeybees) is the most sensitive to diet perturbations, and hence pathogen attack, for the whole beekeeping season. It is possible that evolutionary adaptation of bees fails to benefit them in the modern anthropomorphised environment. Full article