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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.
Rachel Thomas is an American computer scientist and founding Director of the Center for Applied Data Ethics at the University of San Francisco. Together with Jeremy Howard, she is co-founder of fast.ai. Thomas was selected by Forbes magazine as one of the 20 most incredible women in artificial intelligence.
Hands are shown typing on a backlit keyboard to communicate with a computer. Cyberethics is "a branch of ethics concerned with behavior in an online environment". [1] In another definition, it is the "exploration of the entire range of ethical and moral issues that arise in cyberspace" while cyberspace is understood to be "the electronic worlds made visible by the Internet."
Information ethics has been defined as "the branch of ethics that focuses on the relationship between the creation, organization, dissemination, and use of information, and the ethical standards and moral codes governing human conduct in society". [1]
Variability is often included as an additional quality of big data. A 2018 definition states "Big data is where parallel computing tools are needed to handle data", and notes, "This represents a distinct and clearly defined change in the computer science used, via parallel programming theories, and losses of some of the guarantees and ...
Ethics is the philosophical study of moral phenomena. Also called moral philosophy, it investigates normative questions about what people ought to do or which behavior is morally right. Its main branches include normative ethics, applied ethics, and metaethics. Normative ethics aims to find general principles that govern how people should act.
The PDPA establishes a data protection law that comprises various rules governing the collection, use, disclosure and care of personal data. Access to personal data is laid out as part of Part IV, chapter 21 which states that on request of an individual, an organization shall, as soon as reasonably possible, provide the individual with: [9]
The data economy raises concerns about regulatory uncertainties and incoherence, privacy, ethics, the loss of control of data, and the ownership of data and related rights. [ 20 ] [ 21 ] [ 22 ] Mathematical models and algorithms based on them are too often opaque, unregulated, and incontestable.