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Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
The human-driven data economy is a fair and functioning data economy in which data is controlled and used fairly and ethically in a human-oriented manner. [8] [9] The human-driven data economy is linked to the MyData Movement and is a human-centered approach to personal data management. [10]
Technoethics (TE) is an interdisciplinary research area that draws on theories and methods from multiple knowledge domains (such as communications, social sciences, information studies, technology studies, applied ethics, and philosophy) to provide insights on ethical dimensions of technological systems and practices for advancing a technological society.
"In that position, he was integral in OpenAI’s efforts to gather and organize data from the internet used to train GPT-4, a language model used by the company’s now-ubiquitous online chatbot ...
Regulation of the issues of ethical and legal support for the development of AI is accelerating, and policy ensures state control of Chinese companies and over valuable data, including storage of data on Chinese users within the country and the mandatory use of People's Republic of China's national standards for AI, including over big data ...
The book received widespread praise for elucidating the consequences of reliance on big data models for structuring socioeconomic resources. Clay Shirky from The New York Times Book Review said "O'Neil does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives," while pointing out that "the section on solutions is weaker than the illustration of the ...
DataKind is a digital activism organization that brings together data scientists and people from other organizations and governments for the purpose of using big data in similar ways that corporations currently use big data namely to monetize data. However, here big data is used to help solve social problems, like food shortages and homelessness.
The term big data has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. [22] [23] Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.