CEAC Spotlight Series Three: Leadership, Teams & Innovation-Arificial Intelligence And Philanthropy Specific Application; Case Study From The Royal College Of Music London

Arificial Intelligence And Philanthropy Specific Application; Case Study From The Royal College Of Music London

Video Transcription

Video Summary

Lily Harris and Eleanor McKenna from the Royal College of Music shared a case study on integrating artificial intelligence (AI) into their scholarship allocation process, significantly improving efficiency and fairness. Their bespoke AI system, developed with Biomics from Imperial College, streamlined matching over 200 scholarships and 500 scholars to diverse donor preferences in under two minutes—a process previously taking weeks. Key benefits included a 95% time reduction and enhanced impartiality by minimizing unconscious bias. They emphasized maintaining a balance between AI-driven efficiency and essential human interaction critical in philanthropy, especially in performing arts. Ethical considerations, data management, and GDPR compliance were central to their approach; the AI operated offline within strict data governance frameworks. The team continues to explore AI's role in administrative processes, communications, and donor stewardship while preserving personalized relationships. Discussion participants shared experiences using AI in grant writing, prospect research, and alumni engagement, highlighting AI’s potential yet affirming human-led donor relations remain vital. The session also touched on creative stewardship ideas like student performance videos for donors. Overall, the case study illustrated how thoughtful AI application can enhance philanthropic administration while respecting ethical and relational nuances fundamental to donor engagement.

Keywords

Artificial Intelligence

Scholarship Allocation

Royal College of Music

Efficiency Improvement

Unconscious Bias Reduction

Data Governance

GDPR Compliance

Philanthropy in Performing Arts

Donor Stewardship