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Reliabl

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About

Reliabl is a data annotation software designed to improve AI accuracy by transforming traditional data collection methods (hashtags, surveys, feedback, profiles) into contextual, high-quality, and user-centric data. It addresses the limitations of traditional platforms by integrating user insights for more accurate labeling, leading to improved model performance, fairness, and trust. Reliabl prioritizes user data privacy through transparency, consent, ethical handling, robust security measures, data anonymization, and HIPAA compliance. It is endorsed by Techworker Community Africa and Princeton's Workers' Algorithmic Observatory, highlighting its commitment to addressing exploitative practices in the AI industry and advocating for data workers' rights. Its use cases include content recommendation & moderation for social media, Gen AI model training for computer vision and LLMs, and product recommendations for e-commerce.

Platform
Web
Task
data annotation

Features

facilitates product recommendation systems

enables generative ai model training (computer vision, llms)

supports content recommendation and moderation

robust security measures, including hipaa compliance

prioritizes user data privacy and ethical handling

improves ai model performance, fairness, and trust

integrates user insights for accurate labeling

transforms data into user-centric, high-quality insights

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