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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. Big data describes this large amount of data that is so voluminous and complex that traditional data processing application software is inadequate to deal with them. Recent innovations in medical research and healthcare, such as high-throughput genome sequencing, high-resolution imaging, electronic medical patient records and a plethora of internet-connected health devices have triggered a data deluge that will reach the exabyte range in the near future. Data ethics is of increasing relevance as the quantity of data increases because of the scale of the impact.
Big data ethics are different from information ethics because the focus of information ethics is more concerned with issues of intellectual property and concerns relating to librarians, archivists, and information professionals, while big data ethics is more concerned with collectors and disseminators of structured or unstructured data such as data brokers, governments, and large corporations. However, since artificial intelligence or machine learning systems are regularly built using big data sets, the discussions surrounding data ethics are often intertwined with those in the ethics of artificial intelligence.[2] More recently, issues of big data ethics have also been researched in relation with other areas of technology and science ethics, including ethics in mathematics and engineering ethics, as many areas of applied mathematics and engineering use increasingly large data sets.
^Kitchin, Rob (August 18, 2014). The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. SAGE. p. 27. ISBN 9781473908253.
^Floridi, Luciano; Taddeo, Mariarosaria (December 28, 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.
Bigdata primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many...
technology, life sciences, artificial intelligence, bigdata, and business. The Master of Applied Ethics program aims to train students to have an ethical...
a central role in the ethics of artificial intelligence, bigdataethics and ethics in mathematics. The term information ethics was first coined by Robert...
Luciano (2016). "The Ethics of BigData: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10...
Machine ethics (or machine morality, computational morality, or computational ethics) is a part of the ethics of artificial intelligence concerned with...
real-time data. Digital citizen Data mining Data science Digitization/ Digitalization Digital transformation BigdataEthics of artificial intelligence Big data...
action Bigdataethics – Ethics of mass data analytics Ethics of quantification - Ethics of quantification Ethics of artificial intelligence - Ethics of artificial...
The ethics of technology is a sub-field of ethics addressing the ethical questions specific to the Technology Age, the transitional shift in society wherein...
independent ethics committee (IEC), ethical review board (ERB), or research ethics board (REB), is a committee at an institution that applies research ethics by...
The ethics of artificial intelligence is the branch of the ethics of technology specific to artificial intelligence (AI) systems. The ethics of artificial...
internet privacy activists debated the media ethics of journalists reporting on the specifics of the data, such as the names of users revealed to be members...
the Internet of Things, and the Future of Trust, and the Council on BigData, Ethics, and Society. Nelson is past chair of the American Sociological Association's...
to regulate the data economy.: 531–32 Storing and securing collected data represent a significant portion of the data economy. Bigdata is defined as the...
in which data mining can be used can in some cases and contexts raise questions regarding privacy, legality, and ethics. In particular, data mining government...
ethics Computers, Freedom and Privacy Conference Electronic Frontier Foundation Kitchin, Rob (2022). The Data Revolution A Critical Analysis of Big Data...
Robot ethics, sometimes known as "roboethics", concerns ethical problems that occur with robots, such as whether robots pose a threat to humans in the...
in data management include: Data governance Data asset Data governance Data trustee Data custodian or guardian Data steward Data subject Dataethics Data...
available data; rather, it seeks to prove theorems about mathematical objects. Research ethics is a discipline within the study of applied ethics. Its scope...
and global levels. Algorithmic transparency Regulation of algorithms Bigdataethics Shah, H. (2018). "Algorithmic accountability". Philosophical Transactions...
critical information. Vitak's research has focused on networked privacy and dataethics, identifying the privacy risks of new communication technologies and...
DeepMind Ethics & Society". DeepMind Blog. Retrieved 25 March 2018. Temperton, James. "DeepMind's new AI ethics unit is the company's next big move". Wired...
Animal ethics is a branch of ethics which examines human-animal relationships, the moral consideration of animals and how nonhuman animals ought to be...
Luciano (April 2016). "The Ethics of BigData: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10...
and Social Sciences Communications: Ethics of Quantification: BigData and Governing through Numbers, July 2020 Ethics in mathematics E. Popp Berman and...
Retrieved 2018-02-15. Temperton, James. "DeepMind's new AI ethics unit is the company's next big move". Retrieved 2018-02-15. "Introduction from the Founding...
big picture." In 2013, Van Ess came with a shorter definition in that doesn't involve visualisation per se:"Data journalism can be based on any data that...
(2022). DataEthics and Challenges. Springer Nature. ISBN 978-981-19-0752-4. Sloan, Robert H.; Warner, Richard (2019). Why Don't We Defend Better?: Data Breaches...