Responsible AI Lab
Developing AI systems that are ethical, transparent, and beneficial to society through research, guidelines, and practical implementations.
Focus Areas
AI Safety
Researching and implementing safeguards to ensure AI systems operate reliably and safely within defined parameters.
Transparency
Developing tools and methodologies for making AI systems more interpretable and explainable.
Ethics & Fairness
Ensuring AI systems are fair, unbiased, and respect human values and rights.
Current Projects
AI Ethics Framework
A comprehensive framework for evaluating and ensuring ethical AI development, including guidelines, assessment tools, and best practices.
Bias Detection Tools
Suite of tools for detecting and mitigating bias in AI models and datasets, with a focus on fairness across different demographic groups.
Explainable AI Research
Research into methods for making AI decision-making processes more transparent and interpretable to users and stakeholders.