Artificial intelligence systems have been widely applied to various contexts, including high-stake decision processes in healthcare, banking, and judicial systems. Some developed AI models fail to offer a fair output for specific minority groups, sparking comprehensive discussions about AI fairness. We argue that the development of AI systems is marked by a central paradox: the less participation one stakeholder has within the AI system’s life cycle, the more influence they have over the way the system will function. This means that (...) the impact on the fairness of the system is in the hands of those who are less impacted by it. However, most of the existing works ignore how different aspects of AI fairness are dynamically and adaptively affected by different stages of AI system development. To this end, we present a use case to discuss fairness in the development of corporate wellness programs using smart wearables and AI algorithms to analyze data. The four key stakeholders throughout this type of AI system development process are presented. These stakeholders are called service designer, algorithm designer, system deployer, and end-user. We identify three core aspects of AI fairness, namely, contextual fairness, model fairness, and device fairness. We propose a relative contribution of the four stakeholders to the three aspects of fairness. Furthermore, we propose the boundaries and interactions between the four roles, from which we make our conclusion about the possible unfairness in such an AI developing process. (shrink)

Commemorative volume of contributed articles on the life and work of Maolānā̄ Olī Āhamada Niyāmapurī, 1885-1960, Islamic scholar, philosopher and multilingual poet from Chattagram District, Bangladesh.

Islamic ethics in the light of Koranic teachings.

Modeling dynamic networks has attracted much interest in recent years, which helps understand networks’ behavior. Many works have been dedicated to modeling discrete-time networks, but less work is done for continuous-time networks. Point processes as powerful tools for modeling discrete events in continuous time have been widely used for modeling events over networks and their dynamics. These models have solid mathematical assumptions, making them interpretable but decreasing their generalizability for different datasets. Hence, neural point processes were introduced that don’t have (...) strong assumptions on generative functions. However, these models can be impractical in the case of a large number of event types. This research presents a comparative study of different point process models for continuous-time networks. Furthermore, a previously introduced neural point process model is applied for modeling network interactions. In this work, network clustering is used for specifying interaction types. These methods are compared using different synthetic and real-world datasets, and their efficiency is evaluated on these datasets. The experiments represent that each model is appropriate for a group of datasets. In addition, the effect of clustering on results is discussed, and experiments for different clusters are presented. (shrink)

Ṭūsī, Naṣīr al-Dīn Muḥammad ibn Muḥammad, 1201-127 ; Risālah-i is̲bāt al-ʻaql - Criticism and interpretation.

Harmony (Philosophy). ; Naturalism. ; Ontology.

The Performing Arts in Medieval Islam: Shadow Play and Popular Poetry in Ibn Dāniyāl’s Mamluk Cairo. By Li Guo. Islamic History and Civilization, vol. 93. Leiden: Brill, 2012. Pp. xiii + 240. $136.

Study on social consciousness in the works of Malayāḷasvāmi, 1865-1962, philosopher of Vedanta.

The name of Khotan (Old Khotanese hvatana-) is attested in Chinese, Niya Prakrit, Tibetan, Sogdian, and Old Uyghur. Strangely, the name has not previously been identified in Tocharian and Bactrian. This paper argues that a form of the name of Khotan is actually attested in Tocharian A and B and was borrowed from native speakers of Pre- or Old Khotanese. Moreover, the Bactrian documents may have preserved a form of the name of Khotan as well. The analysis of the (...) newly identified forms enables a fresh examination of the borrowing directions of the name of Khotan in the Tarim Basin and beyond and allows several historical and linguistic conclusions. (shrink)

1. Yōga to Sānkiya no shisō -- Niyāya to Vaishēshika no shisō -- 3. Mīmānsā to bunpōgaku no shisō -- 4. Vēdānta shisō no tenkai.