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Data privacy examples

IBM Big Data Hub

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. One cannot overstate the importance of data privacy for businesses today.

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What Is Data Minimisation? Definition & Examples

IT Governance

Its principles are at the heart of effective data protection practices, and are intended to prevent privacy breaches and minimise the damage when security incidents occur. For example, if you’re processing the information to meet your legal obligations or contractual requirements, you can identify specific activities within those terms.

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Privacy in an open-data world: Why government agencies need to be proactive

Collibra

Government agencies — from DC to Duluth, NYC to LA — are struggling. The ever-growing digitalization of our world has raised significant concerns about data privacy and security, particularly for agencies that manage and process sensitive and confidential information. There’s no going back.

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What Is Encryption? Definition, How it Works, & Examples

eSecurity Planet

For example, The Health Insurance Portability and Accountability Act (HIPAA) requires security features such as encryption to protect patients’ health information. The Family Educational Rights and Privacy Act (FERPA) requires encryption or equivalent security measures to protect private student records.

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GUEST ESSAY: The key differences between ‘information privacy’ vs. ‘information security’

The Last Watchdog

Information privacy and information security are two different things. Related: Tapping hidden pools of security talent Information privacy is the ability to control who (or what) can view or access information that is collected about you or your customers. still available for you to use.

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Shedding light on AI bias with real world examples

IBM Big Data Hub

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. ” Examples of AI bias from real life provide organizations with useful insights on how to identify and address bias.

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What can AI and generative AI do for governments?

IBM Big Data Hub

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.