Transforming Sikh Spirituality with AI: Opportunities and Challenges

The rapid advancement of artificial intelligence (AI) is reshaping numerous aspects of human life, including healthcare, education, and entertainment. Spirituality and religion stand out as areas where AI holds transformative potential. Much like the printing press and digital platforms revolutionized the dissemination of religious teachings, AI offers new ways to enhance spiritual engagement. This article explores the intersection of AI, spirituality, and Sikhism, focusing on the opportunities, challenges, and ethical considerations involved

Why dignity is a troubling concept for AI ethics

The concept of dignity is proliferating in ethical, legal, and policy discussions of AI, yet dignity is an elusive term with multiple philosophical interpretations. The authors argue that the unspecific and uncritical employment of the notion of dignity can be counterproductive for AI ethics

The Representative Individuals Approach to Fair Machine Learning

The demands of fair machine learning are often expressed in probabilistic terms. Yet, most of the systems of concern are deterministic in the sense that whether a given subject will receive a given score on the basis of their traits is, for all intents and purposes, either zero or one. What, then, can justify this probabilistic talk? We argue that the statistical reference classes used in fairness measures can be understood as defining the probability that hypothetical persons, who are representative of social roles, will receive certain goods. We call these hypothetical persons “representative individuals.” We claim that what we owe to actual, concrete individuals—whose individual chances of receiving the good in the system might be extreme (i.e., either zero or one)—is that their representative individual has an appropriate probability of receiving the good in question. While less immediately intuitive than other approaches, we argue that the representative individual approach has important advantages over other ways of making sense of this probabilistic talk in the context of fair machine learning

Petite métaphysique thomiste - Extraits Ch. 4 : l'acte

L’acte, tout acte est un exister, un esse écrit Thomas. Esse, exister, est l’activité propre de l’acte, de tout acte. Saint Thomas le répète à plusieurs occasions, être (esse) est « l’actualité de l’acte

The Evolution of Immersive Technology: A Comparative Study of Augmented Reality (AR) and Virtual Reality (VR)

Immersive technologies, particularly Augmented Reality (AR) and Virtual Reality (VR), have evolved significantly in recent years, shaping a new frontier in human-computer interaction. These technologies are revolutionizing industries such as entertainment, education, healthcare, and retail by providing users with unique and interactive experiences. While AR and VR share similarities, such as enhancing user engagement and providing immersive experiences, they differ significantly in terms of technology, application, and user experience. This paper presents a comparative study of AR and VR, examining their technological foundations, applications, challenges, and potential future developments

Transforming Teacher Education through Leadership and Curriculum Management in the 21st Century

The purpose of this study is to investigate the leadership strategies and curriculum management practices of the Program Chair responsible for the Bachelor of Secondary Education (BSED) and Bachelor of Physical Education (BPED) programs at a higher education institution. It focuses on the Program Chair's methods for fostering professional development, supporting faculty growth, and conducting program evaluations. For the methodology, a qualitative case study approach was used, incorporating semi-structured email interviews to collect information about the Program Chair's strategies for curriculum management, faculty development initiatives, and evaluation processes. The research findings indicate that effective leadership, which is rooted in ongoing professional development, collaborative decision-making, and faculty growth, is crucial for successful curriculum management. The study also emphasizes the need to incorporate 21st-century skills, digital literacy, and critical thinking into the curriculum. Furthermore, it shows that strong faculty development programs, including mentorship and professional development opportunities, enhance teaching practices and better equip graduates to meet the challenges of the 21st-century workforce. In conclusion, the study suggests that higher education institutions can greatly benefit from updated curricula, improved faculty development programs, data-driven evaluation systems, and modern learning environments to maintain the success and relevance of their teacher education programs. These recommendations offer practical insights for institutions aiming to enhance their teacher education offerings

The Unity of the Internal and External in Homer

This work was written for the Midlands Conference of Critical Thought which took place on the 24th and 25th April 2025 at the University of Derby. It concerns the moments in the epics of Homer where the internal appears to be expressed through the external, moments where emotions are visible through the body, where the manner of the thought of individuals is seen in their person alongside their physical appearance. The way that these moments occur suggests the possibility of an implicit unity between the internal and the external. This unity must be distinguished from the modern view where the internal causes the external through physical mechanisms. This difference can be conceptualised in terms of a divergence in the way that thought is understood, in other words in thought’s relation to being. If the modern view sees only a purely causal mechanism, it understands thought as physical being only, where there is no more than an objectivity of thought that remains outside the subjective; if Homer expresses internal thought and the body together, he understands thought in terms of its unity with external being, where the objective body and the subjectivity of the individual are the same

Benzos (as) needed: research into as-needed and intermittent benzodiazepines for anxiety is required for comprehensive best prescribing practices

The medical and public health communities are divided around the use of benzodiazepine (“benzo”) pharmacotherapy for anxiety disorders. Recent years have seen increased attention to benzo overprescription and its risks, leading to a pervasive emphasis on deprescribing. Some have resisted this trend, arguing that the balance of evidence supports the safety and efficacy of benzo pharmacotherapy for both short-term and long-term treatment of anxiety disorders. Given that rising rates of anxiety disorders and benzo misuse are both serious public health concerns, there is an urgent need for comprehensive evidence-based best practices for the prescription of benzos for anxiety. At present, however, major scientific gaps make it impossible to formulate such guidance. Most concerning is the lack of research into as-needed and intermittent prescription and use, which are both what benzos are best suited for, and likely, how they are most commonly administered. Further research into the safety and efficacy of both long-term daily and intermittent, as-needed benzo prescription and use are badly needed. But a roundly “anti-benzo” sentiment may be causing problematic underprescription of benzos, particularly when superior alternatives like cognitive-behavioral therapy are not widely available

Identification and Counteraction of Benign, DDOS, DOS, and MITM Utilizing AI Calculations

There are three basic cyber threats, namely benign, Man-in-the-Middle (MiTM) attacks, distributed denial of service (DDoS), and denial of service (DoS). Attackers apply these to disrupt network infrastructure and data integrity. The catch is that early detection systems especially the ones that rely on traditional methods, easily get confused with the strategy lately adopted by attackers. This research therefore develops a layered architecture that uses algorithms-XGBoost and K-Nearest Neighbours (KNN) for real-time detection and mitigation of these threats. A classification-accurate XGBoost model is used to classify DDoS, DoS, and MiTM attacks whereas KNN is used to distinguish benign from harmful activity. Performance assessments show accuracy on the testing data of 94.88%, thus asserting the appropriateness of the models to secure network frameworks