Funding by Algorithm: Insights and Recommendations

The excerpt below highlights core insights and recommendations from Funding by Algorithm: A handbook for responsible uses of AI and machine learning by research funders, developed through RoRI’s GRAIL project in collaboration with 13 research funding organisations across three continents.

It distills key learnings from funders at different stages of exploring and applying AI and machine learning (AI/ML) in their operations, and offers practical guidance for:

• Achieving more effective, ethical and responsible AI applications
• Identifying next steps in experimentation and capacity building
• Structuring and assessing AI/ML tools in funding workflows

These recommendations are designed to help funders make informed, values-led decisions, whether just starting to explore AI, already running pilots, or looking to embed these tools more deeply.

You can also access the interactive document below here.

For real-world use cases, implementation strategies, and deeper context on funders’ roles in shaping responsible AI/ML, see the full handbook:

Funding by Algorithm

A handbook for responsible uses of AI and machine learning by research funders