RAISEF.AI
  • X
  • Facebook
  • LinkedIn
  • YouTube

Blogs

Short essays and research notes on Responsible AI, grounded in RAISEF

Practical guidance, case reflections, and progress updates for practitioners, executives, regulators, and students.

The blog collects concise, evidence-based posts that connect real problems to the RAISEF pillars and drivers. You will find how-to pieces, lifecycle checklists, trade-off walk-throughs, summaries of new research, and notes from the RAISEF-S development. Every post lists related drivers, lifecycle stages, and reading time. Key claims include citations and links to source materials. You can browse by pillar, driver, or topic tag, then subscribe to the newsletter to receive new posts when they are published.

  • Read the Paper

© 2025, Richard R. Khan. All rights reserved. Design: HTML5 UP.
Privacy Policy | Terms of Use | Cookie Policy

Cookie Consent

This website uses cookies to enhance your browsing experience and to analyze our traffic. By continuing to use our website, you consent to our use of cookies. Learn more about our Privacy Policy and Cookie Policy.

Menu

  • Homepage
  • Research Paper
  • Pillars
    • Ethical Safeguards
    • Operational Integrity
    • Societal Empowerment
  • Drivers
    • Ethical Safeguards
    • Fairness
    • Inclusiveness
    • Bias Mitigation
    • Accountability
    • Privacy
    • Operational Integrity
    • Governance
    • Robustness
    • Interpretability
    • Explainability
    • Security
    • Safety
    • Societal Empowerment
    • Sustainability
    • Human Oversight
    • Transparency
    • Trustworthiness
  • Lifecycle
    • Ideation/Proof of Concept
    • Design
    • Development
    • Testing
    • Deployment
    • Monitoring
    • End of Life/Decommissioning
  • Inter-Driver Relationships
  • Case Studies
    • 1: AI-driven Healthcare Diagnostics
    • 2: AI-driven Credit Scoring
    • 3: AI for Smart Agriculture
    • 4: AI in Smart Cities
  • Blogs
  • Databases
    • Standards, Frameworks, and Maturity Models
    • Indicator Pool
  • Scorecard
  • References

Case Studies

Case Study 1: AI-Driven Healthcare Diagnostics

Case Study 2: Fairness in AI-Driven Credit Scoring

  • More

Get in touch

Join the RAISEF community or request a briefing. Share a few lines about your goals and timelines; we’ll follow up soon.

  • support@raisef.ai
  • Toronto, Ontario
    CANADA

We don’t collect assessment data through this site. If your note includes sensitive information, send a brief summary and we’ll arrange a secure channel.