Enacting Trustworthy, Real-World Solutions
Turning responsible AI and data science ideas into tangible, usable outcomes.
We are focused on translating principles, frameworks, and research into practical, real-world deliverables that demonstrate what responsible data science and AI look like in action. Through applied programs and partnerships, HAIL supports the creation of tools, resources, and products that enable evidence-based decision-making and produce measurable impact.
Pathways to Engage
| Faculty & Researchers | Students | External Partners |
|---|---|---|
| Turn research into real-world, reusable outputs. | Build real solutions and a portfolio of applied work. | Co-create trustworthy solutions to real problems. |
|
ConCReTE Curriculum — an RDS resource that includes contextual datasets and scenarios for decision-making |
RDS Student Scholars Program — applied student work and frameworks with tangible outputs (poster presentations, frameworks, case studies) Data Science and AI Day — venue where students showcase outputs (posters, tools, presentations) |
Carnegie HERO Project — partnership example producing an open-access portal with structured data and tools |