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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.
Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through various unique perspectives and taking a critical approach that this form of study can be practiced. [1]
According to Inoslav Bešker, Professor of Philology at the University of Split in Croatia, the 5 Ws are rooted in the seven questions used in ancient Greece to communicate stories clearly: [8] Although long attributed to Hermagoras of Temnos , [ 9 ] in 2010, it was established that Aristotle 's Nicomachean Ethics is in fact the source of the ...
Five whys (or 5 whys) is an iterative interrogative technique used to explore the cause-and-effect relationships underlying a particular problem. [1] The primary goal of the technique is to determine the root cause of a defect or problem by repeating the question "why?" five times, each time directing the current "why" to the answer of the ...
Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]
Machines with intelligence have the potential to use their intelligence to make ethical decisions. The field of machine ethics provides machines with ethical principles and procedures for resolving ethical dilemmas. [304] The field of machine ethics is also called computational morality, [304] and was founded at an AAAI symposium in 2005. [305]
Principlism is an applied ethics approach to the examination of moral dilemmas centering the application of certain ethical principles. This approach to ethical decision-making has been prevalently adopted in various professional fields, largely because it sidesteps complex debates in moral philosophy at the theoretical level.
The ways in which data mining can be used can in some cases and contexts raise questions regarding privacy, legality, and ethics. [28] In particular, data mining government or commercial data sets for national security or law enforcement purposes, such as in the Total Information Awareness Program or in ADVISE, has raised privacy concerns. [29 ...