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8 Dimensions of Ethical AI

Comprehensive evaluation framework that ensures your AI meets the highest standards of responsibility.

Fairness

Fairness

Measures and prevents bias to ensure equitable treatment across demographics.

Safety

Safety

Evaluates prevention of harmful or toxic content for user well-being.

Reliability

Reliability

Assesses consistency and accuracy of AI responses.

Transparency

Transparency

Evaluates clarity of AI decision-making and data usage communication.

Privacy

Privacy

Checks protection of sensitive data and adherence to privacy standards.

Accountability

Accountability

Evaluates traceability of AI decisions and error correction.

Inclusivity

Inclusivity

Measures AI support for diverse users and accessibility.

User Impact

User Impact

Assesses positive value and helpfulness of AI interactions.

Featured Research

From Our Research Lab

Cutting-edge datasets and frameworks powering the next generation of responsible AI

RAIL-HH-10K Dataset

RAIL-HH-10K: The First Large-Scale Multi-Dimensional Safety Dataset

10,000 conversational tasks annotated across 8 ethical dimensions with 99.5% coverage. The first dataset enabling measurable improvements in AI safety and responsible behavior.

10k
Examples
99.5%
Coverage
8
Dimensions
MIT
License

Fairness in Large Language Models

Comprehensive survey of fairness challenges and mitigation strategies in LLMs.

Safety Evaluation Frameworks

Novel approaches to evaluating AI safety across multiple dimensions.

Bias Detection in Generative AI

Methods for identifying and measuring bias in generative AI systems.

Want to know more?See All Research