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The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct (for short, the Ethics Code, as referred to by the APA) includes an introduction, preamble, a list of five aspirational principles and a list of ten enforceable standards that psychologists use to guide ethical decisions in practice, research, and education.
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.
Psychological research risks harming the subjects of the research. In order to prevent that harm, proposed studies are usually approved by an institutional review board to ensure that the risks to the research subjects are justified by the anticipated benefits. [2]
Research ethics is a discipline within the study of applied ethics. Its scope ranges from general scientific integrity and misconduct to the treatment of human and animal subjects. The social responsibilities of scientists and researchers are not traditionally included and are less well defined.
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 United States Department of Health and Human Services (HHS) defines a human research subject as a living individual about whom a research investigator (whether a professional or a student) obtains data through 1) intervention or interaction with the individual, or 2) identifiable private information (32 CFR 219.102).
It provides a critical framework for considering moral issues concerning informational privacy, moral agency (e.g. whether artificial agents may be moral), new environmental issues (especially how agents should behave in the infosphere), problems arising from the life-cycle (creation, collection, recording, distribution, processing, etc.) of ...
Lastly, disguised observation raises some ethical issues regarding obtaining information without respondents' knowledge. For example, the observations collected by an observer participating in an internet chat room discussing how racists advocate racial violence may be seen as incriminating evidence collected without the respondents' knowledge.