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Principles

Privacy

"respect the privacy, confidentiality and cultural sensitivities of the participants and, where relevant, of their communities."

Challenge Instances It is not always clear how our data is being used, or how we could find out It is not always clear how we can protect our identities to assure privacy and identity verification Generic T&C statements provide limited control to individuals over their own data Access to increasing amounts of data about each other may impact our interactions in ways that change human autonomy
Challenges Privacy, confidentiality, data integrity and cultural norms Interactions and distance between researchers and participants are central to research, both when proximal, and when mediated by technologies.
Overarching Focus
Overarching Principles Respect for persons
Sources National Statement on Ethical Conduct in Human Research
Strategies Questions to consider regarding the nature of the data (as (dis)aggregated, private/public, reidentifiable, etc.) Questions to consider regarding data management and participant re-identification Questions to consider regarding re-identification and disciplinary methodological norms Questions to consider regarding re-identification and issues of justice in IP Questions to consider in assessing risk of harms Considerations in assessing trustworthy AI - Respect for privacy and data protection Considerations in assessing trustworthy AI - Quality and integrity of data Considerations in assessing trustworthy AI - Access to data Tools for individuals to create custom machine-readable dynamic terms and conditions that respect their preferences for data collection and use AI assistants should be created to help users understand and manage how their data is being used
Child Of Respect for persons
Created At 2023-05-19T07:41:54.000Z
Title Privacy