Tools may mediate the interaction between researchers and participants, or research may be conducted in a way that is distal to human interactions with the inputs or outputs of the research (e.g., distal to the original capture of the data in the context of gathering training data; or to the use of a tool in the context of training an algorithm to be deployed beyond the research project)."Collecting new data raises issues around meaningful informed consent, whether the subjects are aware of what their data and the resulting research outputs will be used for, how this will affect them and others, and the representation of humans by a necessarily more limited model. More general questions arise about privacy as a concept to allow data subjects self-determination and control over how data about them is used. Further, respect for autonomy ensures an individual’s ability to make decisions for themselves, and to act upon them. Modern digital data collection (e.g. Application Programming Interfaces) and processing techniques have put the various concepts of privacy and autonomy under significant strain. It is therefore important for researchers to be mindful of ways to minimize the risk to research subjects’ and any violations of privacy and autonomy by third parties. Further, applying technological solutions such as encryption are often mistakenly classed as efforts to improve privacy, while they instead provide more security. Similarly, not disclosing information is called confidentiality, not necessarily privacy.”(franzke et al., 2020, p. 38)