Services

At Clariquant, we provide a variety of highly customizable services for each individual project and partner we work with aimed at detecting, mitigating, and preventing racial bias in digital content, business to consumer communication, and online media. These services would primarily focus on ensuring that AI-driven systems, online platforms, and digital interactions are free from harmful racial stereotypes, discrimination, or offensive content. Below are some of the key services we specialize in.

Racial Bias Detection and Mitigation in AI Models

Real-time Racism Detection in User-Generated Content

Service Description: Offer a real-time racism detection system for platforms that allow user-generated content (social media, forums, comments, reviews, etc.).
Key Features:
- Content Moderation: Real-time filtering of offensive language, hate speech, racial slurs, and other forms of discriminatory content.
- Contextual Analysis: Using NLP (Natural Language Processing) to understand the context of content (e.g., sarcastic vs. harmful intent) and distinguish between freedom of speech and hate speech.
- Customizable Filters: Allow businesses to adjust filters according to their specific needs and community guidelines, including cultural sensitivity settings for different regions.
- Reporting and Analytics: Dashboards to track and report on the frequency and severity of racial bias and hate speech, enabling proactive moderation.

Customizable Diversity and Inclusion AI Filters for Brands

Service Description: Offer AI tools for brands and marketers to ensure their campaigns are inclusive and free of racial stereotypes.
Key Features:
- Image and Video Analysis: Detect and flag imagery in advertisements that may perpetuate racial stereotypes or biases.
- Text and Ad Copy Audits: Analyze ad copy, product descriptions, and marketing language for potentially harmful racial content or exclusionary messaging.
- Inclusive Language Suggestions: Offer suggestions for more inclusive language that can be used in marketing materials, social media, and customer communications.

Service Description: Offer tools and frameworks to detect and mitigate racial bias in machine learning models and AI algorithms.
Key Features:
- Bias Audits: Regular audits of AI models to detect biases related to race, ethnicity, and other demographic factors.
- Bias Mitigation Algorithms: Implementing techniques like re-weighting, data augmentation, or adversarial training to reduce bias in existing AI systems.
- Model Interpretability: Provide explainability tools to help organizations understand how decisions are made by their AI systems, ensuring they are free from unintended racial biases.