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Tagged - AI governance

AI Registers: Finally, a Tool to Increase Transparency in AI/ML

Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no...

Re-Evaluating Privacy and Technology During a Pandemic

When challenging and unprecedented situations occur, the initial reaction is born out of survival instincts. These short-term solutions often negate a calculated set of...

EU to Invest €6 Billion to 91ÖÆÆ¬³§ a Single European Data Space

The EU plans to invest €6 billion to build a single European data space, reports EURACTIV. The envisioned space will house personal, business, and “high-quality industrial...

Databricks and Immuta Partner to Provide End-to-End Data Governance for Machine Learning

Databricks, a data processing and analytics platform with a strong focus on AI and ML, has partnered with Immuta to deliver automated end-to-end data governance for AI,...

Google and IBM Are Calling for AI Regulation

Last week, Google’s CEO, Sundar Pichai, called for new AI regulations. The next day, IBM called for rules to eliminate AI biases that can discriminate against consumers,...

Mitigate Machine Bias – Phase 4: Mitigate Machine Biases and Risk

This phase of the blueprint, Mitigate Machine Bias, will help you learn about approaches for proactive and effective bias prevention and mitigation.

Model Cards for Model Reporting Template

This template contains the questions from the "Model Cards for Model Reporting" framework.

Mitigate Machine Bias – Phase 3: Identify Model Biases

This phase of the blueprint, Mitigate Machine Bias, will help you you learn about model biases and how to mitigate them.

Datasheets for Data Sets Template

This template contains the questions from the "Datasheets for Datasets" framework.

Mitigate Machine Bias – Phase 2: Identify Data Biases

This phase of the blueprint, Mitigate Machine Bias, will help you learn about data biases and how to mitigate them.
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