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You searched for subject:(Xai Xai). Showing records 1 – 2 of 2 total matches.

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Georgia State University

1. Dougherty, Sean. Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations.

Degree: Executive Doctorate in Business (EDB), Business, 2019, Georgia State University

Advances in “deep learning” algorithms have led to intelligent systems that provide automated classifications of unstructured data. Until recently these systems could not provide the reasons behind a classification. This lack of “explainability” has led to resistance in applying these systems in some contexts. An intensive research and development effort to make such systems more transparent and interpretable has proposed and developed multiple types of explanation to address this challenge. Relatively little research has been conducted into how humans process these explanations. Theories and measures from areas of research in social cognition were selected to evaluate attribution of mental processes from intentional systems theory, measures of working memory demands from cognitive load theory, and self-efficacy from social cognition theory. Crowdsourced natural disaster damage assessment of aerial images was employed using a written assessment guideline as the task. The “Wizard of Oz” method was used to generate the damage assessment output of a simulated agent. The output and explanations contained errors consistent with transferring a deep learning system to a new disaster event. A between-subjects experiment was conducted where three types of natural language explanations were manipulated between conditions. Counterfactual explanations increased intrinsic cognitive load and made participants more aware of the challenges of the task. Explanations that described boundary conditions and failure modes (“hedging explanations”) decreased agreement with erroneous agent ratings without a detectable effect on cognitive load. However, these effects were not large enough to counteract decreases in self-efficacy and increases in erroneous agreement as a result of providing a causal explanation. The extraneous cognitive load generated by explanations had the strongest influence on self-efficacy in the task. Presenting all of the explanation types at the same time maximized cognitive load and agreement with erroneous simulated output. Perceived interdependence with the simulated agent was also associated with increases in self-efficacy; however, trust in the agent was not associated with differences in self-efficacy. These findings identify effects related to research areas which have developed methods to design tasks that may increase the effectiveness of explanations. Advisors/Committee Members: Pamela S. Ellen, Balasubramaniam Ramesh, Mark Keil.

Subjects/Keywords: Interpretability; Human-Agent Interaction; XAI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dougherty, S. (2019). Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/bus_admin_diss/113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dougherty, Sean. “Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations.” 2019. Thesis, Georgia State University. Accessed January 18, 2020. https://scholarworks.gsu.edu/bus_admin_diss/113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dougherty, Sean. “Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations.” 2019. Web. 18 Jan 2020.

Vancouver:

Dougherty S. Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations. [Internet] [Thesis]. Georgia State University; 2019. [cited 2020 Jan 18]. Available from: https://scholarworks.gsu.edu/bus_admin_diss/113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dougherty S. Partnering People with Deep Learning Systems: Human Cognitive Effects of Explanations. [Thesis]. Georgia State University; 2019. Available from: https://scholarworks.gsu.edu/bus_admin_diss/113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Technical University of Lisbon

2. Madureira, Margarida Paulos e Cruz. Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique).

Degree: 2013, Technical University of Lisbon

Mestrado em Desenvolvimento e Cooperação Internacional

Esta dissertação aborda o fenómeno de land grabbing - investimentos de grande escala em terrenos agrícolas em países em desenvolvimento - como uma forma específica assumida pelo processo de transição agrária no contexto destes países no início do séc. XXI. Para tal, toma como estudo de caso o projecto Wanbao, em Xai-Xai (província de Gaza, Moçambique). Trata-se de um projecto que pretende aumentar a produtividade agrícola, nomeadamente na produção de arroz, e que assenta numa parceria entre a empresa chinesa Wanbao e a empresa pública moçambicana Regadio do Baixo Limpopo. A implementação do projecto implica a concessão de 20 mil hectares de terrenos no Regadio do Baixo Limpopo e a expropriação de milhares de camponeses que dependiam destes terrenos para a sua subsistência. O trabalho de campo foi realizado em Junho de 2013 e incluiu a realização de 24 entrevistas, em Xai-Xai e Maputo, com responsáveis do projecto, representantes de entidades oficiais moçambicanas e de organizações da sociedade civil e diversos camponeses afectados. Conclui-se que o projecto Wanbao está a implicar uma transformação profunda das estruturas sociais na região, a qual pode ser interpretada proveitosamente à luz da bibliografia histórica e teórica sobre a transição agrária correspondente à penetração das lógicas mercantis e capitalistas, na medida em que incorpora todos os elementos dessa transição: expropriação, concentração da propriedade e (semi-proletarização).

This dissertation addresses the phenomenon of land grabbing - large scale investments in agriculture in developing countries - as a particular form taken by the process of agrarian transition in the context of these countries in the beginning of the 21st Century. For this purpose, the Wanbao project in Xai-Xai (Gaza province, Mozambique) is used as a case study. The Wanbao project aims at increasing agricultural productivity, namely in rice production, and it builds on a partnership between the Chinese private company Wanbao and the Mozambican state company Regadio do Baixo Limpopo. The implementation of the project implies both the concession of 20 thousand hectares in the Regadio do Baixo Limpopo area and the expropriation of thousands of peasants who relied on these lands for their subsistence. Fieldwork was undertaken in June 2013 and included 24 interviews, in Xai-Xai and Maputo, with project managers, representatives of the Mozambican authorities and civil society organizations, as well as several affected peasants. We conclude that the Wanbao project is bringing about a profound transformation of the region?s social structures which can be usefully interpreted under the light of the historical and theoretical literature on the agrarian transition corresponding to the penetration of mercantile and capitalist logics insofar as this process exhibits all the elements of that transition: expropriation; consolidation of land holdings; and (semi-proletarianization).

Advisors/Committee Members: Leite, Joana Pereira, Mosca, João Santos.

Subjects/Keywords: Transição Agrária; Land Grabs; Wanbao; Agricultura; Xai-Xai; Moçambique; Agrarian Transition; Agriculture; Mozambique

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Madureira, M. P. e. C. (2013). Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique). (Thesis). Technical University of Lisbon. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/11400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Madureira, Margarida Paulos e Cruz. “Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique).” 2013. Thesis, Technical University of Lisbon. Accessed January 18, 2020. http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/11400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Madureira, Margarida Paulos e Cruz. “Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique).” 2013. Web. 18 Jan 2020.

Vancouver:

Madureira MPeC. Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique). [Internet] [Thesis]. Technical University of Lisbon; 2013. [cited 2020 Jan 18]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/11400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Madureira MPeC. Mega-projectos e transição agrária : o caso do projecto WANBAO (Moçambique). [Thesis]. Technical University of Lisbon; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/11400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.