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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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Sophie Sayer on the IT Governance Partner Programme

IT Governance

The benefits of partnering with us, and our partner-exclusive event IT Governance launched its partner programme in 2017, which now includes more than 400 organisations. And why should organisations consider partnering with IT Governance? What is it that makes IT Governance special? What else can partners expect from the event?

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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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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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AI governance: What it is, why you need it, and why it’s essential for your AI initiatives

Collibra

For starters, just imagine the repeated cost of training an LLM on a data set that contains poor quality, inconsistent, inaccurate or incomplete data. Businesses everywhere are seeking ways to leverage LLMs as fast as governments are talking about ways to regulate them. What you need is a governance model for 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. As more of our interactions and transactions occur online, the need for robust data protection measures becomes increasingly critical to safeguard personal data and maintain public trust in government institutions. There’s no going back. They must choose both.

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Improving government services with Collibra Data Quality & Observability: A closer look at the food stamp program

Collibra

In our data-driven age, data quality is crucial for any organization — but it’s particularly vital for citizens who rely on government agencies to provide essential services. Government programs of all kinds can benefit from the use of Collibra Data Quality & Observability.