The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...
Kwan Hong TAN· PhilPapers (PhilPapers Found...· 0 citations
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The question of whether moral facts are real or constructed has dominated metaethical discourse for centuries, with traditional positions including moral realism, anti-realism, and constructivism offering competing accounts of moral ontology. This paper introduces four novel theoretical frameworks that transcend tradit...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The question of whether moral facts are real or constructed has dominated metaethical discourse for centuries, with traditional positions including moral realism, anti-realism, and constructivism offering competing accounts of moral ontology. This paper introduces four novel theoretical frameworks that transcend tradit...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence is increasingly becoming a governing medium through which institutions classify persons, allocate opportunities, structure work, produce knowledge and mediate public trust. Current AI governance frameworks emphasise risk classification, technical assurance, transparency, accountability and human...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence is shifting automation from prediction and recommendation toward autonomous execution. This transition creates an economic externality that is not captured by conventional firm-level investment models. A firm receives much of the productivity benefit from delegating decisions to an artif...
Kwan Hong TAN· International Journal of Eco...· 1 citation
Fixed --vector-dir was ignored for every bundled file. The loader consulted the pinned bundle first by file name, so a caller-supplied vector directory was never read for any file pq-verify also ships, while the report named that directory as the source. A directory with a corrupted expected answer reported 240/240; it...
Nicholas Daniel Maino· Zenodo (CERN European Organi...· 0 citations
In this work, we explore the problem of optimal resource allocation in an Unmanned Aerial Vehicle (UAV)-enabled edge computing platform. In the existing literature, researchers have focused on developing edge platforms in the presence of UAVs and ground nodes. However, in real-world scenarios requiring temporary comput...
Ayan Mondal, M. M., Vansh Kathnawal et al.· Proceedings of the 7th Inter...· 0 citations
أصبحت الحاجة إلى اختيار معماريات مرجعية مناسبة لإنترنت الأشياء (IoT) أمراً حيوياً لضمان التكامل المؤسسي والكفاءة التشغيلية المرجوة، وذلك يرجع لتزايد توجه المؤسسات الليبية نحو التحول الرقمي وتبني التقنيات الذكية وتأتي هذه الدراسة لتقديم تحليل مقارن وشامل للمعماريات المرجعية لإنترنت الأشياء بهدف تحديد واستخلاص المتطلبات...
صلاح الدين عمر أحمد دبك, أبو بكر الصديق فتحي السباعي, عبد الرحمن جمعة منصور أبو سنينة· Al-Farooq Journal of Science...· 0 citations
Context and relevance. Modern trends in technology development are moving towards the transfer of computing from cloud platforms to embedded devices. In this regard, there is a growing need to determine the optimal stack of hardware and software technologies for solving computer vision problems. Goal. Determine the opt...
Maxim A. Kukushkin, Peter Alexandrovich Ukhov· Modelling and Data Analysis· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
