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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]
Dataism implies that all data is public, even personal data, to make the system work as a whole, which is a factor that's already showing resistance today. [ 12 ] Other analysts, such as Terry Ortleib, have looked at the extent to which Dataism poses a dystopian threat to humanity.
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.
Internet universality is a concept and framework adopted by UNESCO in 2015 to summarize their position on the internet. The concept recognizes that "the Internet is much more than infrastructure and applications; it is a network of economic and social interactions and relationships, which has the potential to enable human rights, empower individuals and communities, and facilitate sustainable ...
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.
Every internet activity leaves behind traces of data (a digital footprint) which can be used to learn more about the user. [10] As use of the internet is becoming more widespread, the datafication of the world is progressing rapidly: Currently, around 16 zettabytes of data are produced per year and for the year 2025 163 zettabytes of data are expected. [11]
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 ...