mi2.ai: Advancing Responsible and Explainable AI for Critical Domains

mi2.ai is a cutting-edge AI research initiative rooted in the collaboration between Warsaw University of Technology and the University of Warsaw, dedicated to building trustworthy, explainable, and secure machine learning models. Specializing in Explainable AI (XAI), red-teaming, and model auditing, mi2.ai empowers organizations and researchers with advanced tools and services for responsible AI deployment across high-stakes fields like healthcare, space exploration, and legal analysis. With a strong focus on scientific rigor and real-world impact, the team offers custom software development, model validation, training, and research as a service—making it a vital partner for enterprises, academic institutions, and innovators committed to ethical AI. Their open-source contributions, including DALEX, fairmodels, and survex, enhance transparency and reproducibility in AI research.

Key Features:

• Explainable AI (XAI): Advanced tools and methods for interpreting and validating AI model decisions.
• Red Teaming AI Models: Proactive identification of vulnerabilities and adversarial weaknesses in predictive systems.
• Responsible Predictive Modeling: Full lifecycle management focused on fairness, robustness, and ethical deployment.
• Domain-Specific AI Solutions: Specialized research in medical imaging (e.g., cancer, lung diseases), space missions, and genetic signatures.
• Open-Source Tools & Libraries: Includes DALEX (Python), fairmodels (R), survex (R), archivist (R), and TLOS dataset for reproducibility.
• Research as a Service (RaaS): Custom model development, auditing, champion-challenger evaluations, and deployment support.
• International Collaboration: Partnerships with leading institutions including Harvard Medical School, European Space Agency (ESA), and LMU.
• Academic & Career Development: Offers thesis proposals, internships, PhDs, postdoctoral fellowships, and tenure-track opportunities.
• Access to High-Performance Infrastructure: Utilizes supercomputers like Eden with 32x A100 GPUs and 1.5TB storage for intensive research.
• Scientific Workshops & Seminars: Regular events to share knowledge and promote best practices in AI safety and interpretability.
• AI Safety & Robustness Research: Focus on adversarial attacks, model interpretability, and trustworthy human-AI collaboration.

Pricing: mi2.ai operates primarily through research grants, academic partnerships, and project-based consulting, offering flexible engagement models tailored to institutional and enterprise needs. While no public pricing tiers are listed, its services are accessible via a freemium approach through open-source tools and research contributions.

Conclusion: mi2.ai stands at the forefront of responsible AI innovation, combining academic excellence with real-world applications in healthcare and space—making it an essential partner for organizations and researchers aiming to build transparent, robust, and ethically sound machine learning systems.