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Data privacy examples

IBM Big Data Hub

A navigation app anonymizes activity data before analyzing it for travel trends. 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.

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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.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

For example, generative AI models can produce highly believable, well-structured responses so it can be hard to immediately pinpoint an incorrect response without the right subject matter expertise. At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks.

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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. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

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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. They must choose both.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.