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Ancestors and Algorithms : = Ethnocomputing Ai with African & African Diasporic Heritage.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Ancestors and Algorithms :/
其他題名:	Ethnocomputing Ai with African & African Diasporic Heritage.
作者:	Cooper, Tameekia.
面頁冊數:	1 online resource (121 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Contained By:	Dissertations Abstracts International84-04B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29712285click for full text (PQDT)
ISBN:	9798845451934

Ancestors and Algorithms : = Ethnocomputing Ai with African & African Diasporic Heritage.
Cooper, Tameekia.

Ancestors and Algorithms :Ethnocomputing Ai with African & African Diasporic Heritage. - 1 online resource (121 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: B.

Thesis (Ph.D.)--University of Michigan, 2022.

Includes bibliographical references

This dissertation argues the notion of automated "intelligence" that mobilizes Artificial Intelligence (AI) orbits around a singular cultural definition of knowing engendered by European colonial values and does not account for ways of knowing from marginalized cultures (with a specific focus on Gullah Geechee culture). Reading across disciplines on works about the production of data produced in the 19th century archives of Europe and the Americas, to contemporary computer and information science, and 21st century art-based AI projects, this study illuminates how the production of data as knowledge has deep epistemological biases which favors European colonial perspectives and efface black worldviews. Because modern computing relies so heavily on data to generate intelligent algorithms that carry out tasks, it is important to consider who, what, why, and how certain realities are always legible through data and others not. What does it mean then to question AI in relation to data and knowledge? It means to question the theories of knowing (epistemology) that underpin AI, and the role of data within the production of knowledge. By examining this epistemological bias affecting the computation of AI, this study demonstrates how European colonial values as the status quo in data, instantiates an epistemic gap within the very notion of "intelligence", functioning as a gatekeeper that validates limited technical approaches and expressions of scholarship for AI and beyond. With that said this dissertation project emerges between theory and practice, creative and analytical, activism and scholarship, offering an approach to redress data for African and African diasporic cultural knowledge, and advance an anticolonial practice to the production of scholarship for AI. Weaving in personal narratives from my family's ancestral knowledge, as a descendants of Gullah Geechee people, this dissertation offers an experimental approach to compute AI with Gullah Geechee knowledge frameworks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845451934Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Gullah GeecheeIndex Terms--Genre/Form:

542853
Electronic books.

Ancestors and Algorithms : = Ethnocomputing Ai with African & African Diasporic Heritage.
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