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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]
The concept of contextual integrity have also influenced the norms of ethics for research work using social media data. Fiesler et al. studied Twitter users' awareness and perception of research work that analyzed Twitter data, reported results in a paper, or even quoted the actual tweets. It turned out that users' concerns were largely ...
Data care calls for "slow computing," which is an ethical way to morally utilize people's data that intends to protect their privacy in regards to data-driven systems. [1] In other words, slow computing prioritizes protecting people's private information on digital and mobile devices, so they may use these devices without feeling harassed ...
Topics about Ethical theories in general should be placed in relevant topic categories. Subcategories. ... Consequentialism (5 C, 24 P) J. Just war theory (11 P) M.
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.
The Australian Library Journal states proponents for censorship in libraries, the practice of librarians deciphering which books/ resources to keep in their libraries, argue the act of censorship is an ethical way to provide information to the public that is considered morally sound, allowing positive ethics instead of negative ethics to be ...
The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation.