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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. For example, they can decline to have their data shared with third parties while allowing the app to generate personalized offers.

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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 is Tailgating? Definition, Examples & Prevention

IT Governance

For example, phishing is a type of social engineering, with the attacker appearing to be a legitimate person or organisation who is emailing the target. Tailgating attack examples In the most basic form of tailgating, the fraudster simply waits by a door until someone with legitimate access opens it, then follows them into the building.

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LLMs and Tool Use

Schneier on Security

Last March, just two weeks after GPT-4 was released , researchers at Microsoft quietly announced a plan to compile millions of APIs—tools that can do everything from ordering a pizza to solving physics equations to controlling the TV in your living room—into a compendium that would be made accessible to large language models (LLMs).

Risk 95
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What is Smishing? Definition, Examples and Prevention

IT Governance

The scammer will try to gain your trust by claiming to be a figure of authority, such as the government or a well-known organisation. You can help educate your employees and bolster your organisation’s defences with our Phishing Staff Awareness Training Programme. A pretext is the reason that they are contacting you.

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5 key areas for governments to responsibly deploy generative AI

IBM Big Data Hub

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

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Data quality: key for government agencies with a data mesh strategy

Collibra

In today’s world, data drives many of the decisions made by federal and state government agencies. Take, for example, a federal health agency tracking the spread of a contagious disease. Without automated tools, it’s virtually impossible for them to manually sift through this growing volume of data to ensure its quality.