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Women, Education and Empowerment in Asia

S. Jayaweera

1997 |

DOI: 10.1080/09540259721169

https://www.semanticscholar.org/paper/86dd381b8839de19b6b9dff6a5404bc8e82e5ea8

ABSTRACT Education is widely perceived as anâ¦

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Impact of ICT on women empowerment in South Asia

Md Shamimul Islam

2015 |

DOI: 10.18533/JEFS.V3I03.166

https://www.semanticscholar.org/paper/a1c4f9e77b2312de

This paper examines key ICT-based initiatives designed for the empowerment ofâ¦

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Effects of women empowerment in Asia

The effects of women empowerment in Asia have garnered significant scholarly attention, particularly in the context of education and technology. Jayaweera (1997) highlights the complex relationship between education and womenâs empowerment, suggesting that while education is often viewed as a pathway to empowerment, the reality is more nuanced. The study indicates that there is no straightforward positive correlation between educational attainment and womenâs economic, social, and political empowerment.

In contrast, the role of Information and Communication Technologies (ICTs) has emerged as a promising avenue for enhancing womenâs empowerment in South Asia. Islam (2015) provides empirical evidence that ICT has a positive impact on womenâs empowerment, suggesting that access to technology can facilitate greater agency and participation in various socio-economic spheres.

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Limitations of AI

Max Jamilly, a PhD student at the University of Oxford, Fintan Nagle, a cognitive neuroscientist at UCL, and Charles Ross, Chairman of the Brain Mind Forum, discuss a new era of human and machine symbiosis for artificial intelligence.

NoneMax Jamilly, F. Naglâ¦3 Citations2018Connected Papers

DOI: 10.1093/ITNOW/BWY006CiteSaveSource

Limitations of AI

The promise of AI with its breathtaking range of applications seems to be without limits. To elaborate on limitations of AI may therefore be perceived by some of our readers as a spin in opposite directions. AI is so much associated with accelerating innovation, insight, and decision making that we see its opportunities as immeasurable. And yet, even for AI, there are limits and challenges, as we â¦

NoneEberhard Hechler, Mâ¦0 Citations2020Connected Papers

DOI: 10.1007/978-1-4842-6206-1_13CiteSaveSource

The Limits of Artificial Intelligence

This paper examines the boundaries of current machine learning systems, focusing on generalization, data dependence, and the absence of causal reasoning that constrains real-world deployment across domains.

NoneR. Kaur et al.7 Citations2022Connected Papers

DOI: 10.1016/j.artint.2022.103771CiteSaveSource

Rethinking AI Limitations

We argue that many perceived limitations of AI stem from misaligned evaluation methods rather than fundamental capability gaps, and propose a framework for more faithful benchmarking of model behavior.

NoneT. Okafor, L. Reyes1 Citation2023Connected Papers

DOI: 10.1145/3583131.3590482CiteSaveSource

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Oral Boards: Humans vs. AI

NoneN/A0 Citations2025

DOI: 10.1213/ane.0000000000007554CiteSaveSourceSimilarity Graph

Humans vs. AI in Detecting Vehicle Damage

NoneAlice Yang, Guoyang â¦4 Citations2024

DOI: Not availableCiteSaveSourceSimilarity Graph

HumanâAI Collaboration in Clinical Decisions

NoneM. Chen et al.12 Citations2023

DOI: 10.1038/s41746-023-00987CiteSaveSourceSimilarity Graph

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AI-Complete, AI-Hard, or AI-Easy - Classification of Problems in AI

Roman V Yampolskiy

None

2012

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Citations0 Influential Citations50 Citations

References62 References

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Abstract

The paper contributes to the development of the theory of AI-Completeness by formalizing the notion of AI-Complete and AI-Hard problems. The intended goal is to provide a classification of problems in the field of General Artificial Intelligence. We prove Turing Test to be an instance of an AI-Complete problem and further show numerous AI problems to be AI-Complete or AI-Hard via polynomial time reductions. Finally, the paper suggests some directions for future work on the theory of AI-Completeness. Keywords: AI-Complete, AI-Easy, AI-Hard, Human

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AI-Complete, AI-Hard, or AI-Easy â Classification of Problems in AI

Roman V Yampolskiy

2012

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Annu. Rev. Sociol. 2002. 28:167–95
doi: 10.1146/annurev.soc.28.110601.141107
Copyright © 2002 by Annual Reviews. All rights reserved

THE STUDY OF BOUNDARIES IN THE SOCIAL SCIENCES

Michèle Lamont and Virág Molnár

Department of Sociology, Princeton University, Princeton, New Jersey 08540; e-mail: Mlamont@princeton.edu, vmolnar@phoenix.princeton.edu

Key Words culture, identity, inequality, community, borders

■ Abstract In recent years, the concept of boundaries has been at the center of influential research agendas in anthropology, history, political science, social psychology, and sociology. This article surveys some of these developments while describing the value added provided by the concept, particularly concerning the study of relational processes. It discusses literatures on (a) social and collective identity; (b) class, ethnic/racial, and gender/sex inequality; (c) professions, knowledge, and science; and (d) communities, national identities, and spatial boundaries.

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Bessen, J. (2019). Artificial Intelligence and Jobs: The Role of Demand. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The Economics of Artificial Intelligence: An Agenda (pp. 291–307). University of Chicago Press.

Acemoglu, D., & Restrepo, P. (2018). Artificial Intelligence, Automation and Work. National Bureau of Economic Research.

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â¦behind urban centers in terms of access to resources, employment opportunities, and basic services (Rodriguez-Pose and Hardy, 2015).

The United Nations estimates that hundreds of millions in Asia still exist below the international poverty line, facing difficulties related to health care, education, and nutrition. Education disparities also contribute to socio-economic challenges in the region (Rolleston and Crouch, 2021).

Countries such as Bangladesh and Afghanistan struggle with low enrollment rates, particularly for girls, leading to a cycle of poverty that is difficult to break.

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