RAISEF
Case Study 1: AI-Driven Healthcare Diagnostics
RAISEF Scorecard (RAISEF-S)
A practical way to gauge and improve Responsible AI across pillars and lifecycle
Assemble indicators, rate current practice, and see where to strengthen next.
The RAISEF Scorecard translates the framework into an actionable assessment. You select relevant indicators for each driver, record evidence, and score current practice by lifecycle stage. Results roll up to pillar views and a provisional overall index that highlights strengths, gaps, and trade offs to address. The public demo on this site is client side only, with no data collection, so you can explore the approach safely. The research version evolves through the dissertation, adding richer indicator libraries, weighting options, and exportable reports that align with external standards and maturity models.
