Can We Measure the Iman Impact of AI? Can We Increase It?

The key question

When a Muslim sits with an AI, what rubs off on them? And can we make it better?

What this talk covers

A 25-minute talk delivered at the IQRA’ Monthly Meeting on 5 September 2026, hosted by Dr Safi Kaskas. It moves through seven parts:

1. Motivation. Three prongs for Muslim community AI use, and why the third (most Muslims will use frontier models) makes benchmarks matter for everyone.
2. What happens when a Muslim goes to an AI: two real scenarios, cutting off a mother and borrowing an orphan’s money, and how the models answered.
3. JaleesBench. The jalis of the hadith, 140 scenarios from Riyad al-Salihin, six pressures, three framings, and a five-band score judged against each scenario’s own proof texts.
4. Results. The scorecard across 12 systems, why recognition beats instruction, and where everyone caves.
5. Impact. One line added to Ansari’s prompt, and the companion prompt anyone can paste into ChatGPT, Claude, or Gemini.
6. Future work. JaleesWeights, open models fine-tuned so Islamic values are the default, and why scripture must be routed through retrieval.
7. Q and A.

Follow up

• The paper: arxiv.org/abs/2608.07508
• The results browser: s.iaser.ai/jb, every sitting from the benchmark
• The prompt: s.iaser.ai/prompt, in four languages
• The code: github.com/iaser-ai/jaleesbench
• The research article: JaleesBench: Are AI Assistants Good Spiritual Company?