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Data privacy examples

IBM Journey to AI blog

The General Data Protection Regulation (GDRP) The GDPR is a European Union privacy regulation that governs how organizations in and outside of Europe handle the personal data of EU residents. The price tag can add up quickly. Learn how IBM OpenPages Data Privacy Management can improve compliance accuracy and reduce audit time.

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My favorite AI governance research this year so far

AI Impacts

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. Among the most important questions in AI governance are how can labs determine whether their training runs and deployment plans are safe? This research aims directly at this question.

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Artificial Intelligence for Disaster Relief: A Primer

Lexalytics

With the rise of natural disasters exacerbated by climate change, governments and agencies struggle to coordinate effective relief programs. Hurricane Ida’s price tag topped $64.5 Relief agencies are struggling Governments around the world are struggling to coordinate effective, efficient programs. Here’s how.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

Record metadata like licenses, tags, creators, etc. Stronger plagiarism detection technologies and internal governance by developers. Develop rigorous data documentation and provenance tracking procedures. Implement plagiarism detection tools to flag high-risk content before release.

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Introducing Synthetic Task Generation with ChatGPT in NLP Lab 5.2

John Snow Labs

The “Temperature” parameter governs the “creativity” or randomness of the LLM-generated text. Editing, Tagging, and Exporting The NLP Lab integration delivers the generated texts in a dedicated UI that allows users to review, edit, and tag them in place. Higher temperature values (e.g.,

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The Role of RTOS in the Future of Big Data Processing

ODSC - Open Data Science

These technologies include the following: Data governance and management  — It is crucial to have a solid data management system and governance practices to ensure data accuracy, consistency, and security. It is also important to establish data quality standards and strict access controls.

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Accelerate release lifecycle with pathway to deploy: Part 1

IBM Journey to AI blog

Rapidly deploying applications to cloud requires not just development acceleration with continuous integration, deployment and testing (CI/CD/CT), It also requires supply chain lifecycle acceleration, which involves multiple other groups such as governance risk and compliance (GRC), change management, operations, resiliency and reliability.

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