Authors: Pica Johansson, Jonathan Bright, Shyam Krishna, Claudia Fischer, David Leslie

Published on: February 07, 2024

Impact Score: 8.38

Arxiv code: Arxiv:2402.04910

Summary

• What is new: Exploration of synthetic data’s use in online safety, focusing on bias mitigation, privacy preservation, and reduced exposure to harmful content.
• Why this is important: The need to enhance online safety research and development, while managing data-related challenges like privacy, sharing limitations, and exposure to harmful content.
• What the research proposes: Using synthetic data as a tool for accelerating online safety R&D, with attention to responsible use addressing potential risks and ethical challenges.
• Results: Indicates potential for significant advancements in online safety practices, with caveats regarding the careful management of synthetic data’s limitations and risks.

Technical Details

Technological frameworks used: nan

Models used: nan

Data used: Synthetic data

Potential Impact

Online platforms, cybersecurity companies, data privacy solution providers

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