From the course: Understanding and Prioritizing Data Privacy

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Trust, integrity, and ethical inputs and outcomes

Trust, integrity, and ethical inputs and outcomes

From the course: Understanding and Prioritizing Data Privacy

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Trust, integrity, and ethical inputs and outcomes

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- Trust and integrity are foundational concepts in data privacy. Trust is the belief that an entity, whether an organization, a service provider, or a government, will handle data responsibly and ethically. Trust is built over time through consistent actions, transparency, and accountability. In contrast, integrity refers to the adherence of strong moral principles and the accuracy and consistency of data. When organizations uphold integrity in their data practices, they create an environment where trust can flourish. For example, consider a healthcare provider that collects patient data. Patients are more likely to trust that their information is secure if their clinic consistently protects this data complies with regulations and communicates openly about data usage. Conversely, if the provider mishandles data or lacks transparency like failing to inform patients about how their information will be used, trust erodes leading to skepticism and potential harm. The interplay between…

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