| | --- |
| | title: AIM Lab |
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| | https://cdn-uploads.huggingface.co/production/uploads/62f1983b3ca6aaa057d6fbb5/7dyDp3UmUNKrwvmxFgwYG.png |
| | short_description: The AIM Lab at SCU builds equitable AI systems. |
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| | license: mit |
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| | |
| | # AIM Lab — Inclusive & Multimodal AI |
| | **Santa Clara University | Directed by Dr. Oana Ignat** |
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| | The **AIM Lab** builds equitable AI systems for people — across languages, cultures, and modalities. |
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| | We work at the intersection of: |
| | - 🌐 **Cross-cultural & multilingual AI** |
| | - 🤝 **Multi-agent and pluralistic alignment** |
| | - 🖼️ **Multimodal generation (text, image, video)** |
| | - 🎓 **AI for education and mentorship** |
| | - ⚖️ **Fairness, ethics, and representation** |
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| | Our research combines dataset creation, AI model design, and comprehensive evaluation to develop practical AI solutions that are both accurate and socially grounded. |
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| | ## Recent Projects |
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| | - **MentorQA** — multilingual mentorship-focused QA beyond factual correctness. 📄 https://arxiv.org/pdf/2601.17173 |
| | - **MemeXGen** — cross-cultural meme transcreation (Chinese ↔ US), studying how multimodal humor adapts across cultures while preserving intent and meaning. 📄 https://arxiv.org/pdf/2602.02510 |
| | - **MosAIG** — multicultural text-to-image generation benchmark evaluating how well generative models represent diverse cultural identities. 📄 https://arxiv.org/pdf/2502.15972 |
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| | > **Ultimately, research is for people and can enable demographic-aware technologies that make a lasting positive impact on society.** — [*Why AI is WEIRD*](https://ojs.aaai.org/index.php/AAAI/article/view/35092) |
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| | 📍 Santa Clara University, Silicon Valley |
| | 🌐 https://oanaignat.github.io/aim/ |
| | 🏫 https://www.scu.edu/engineering/faculty/ignat-oana/ |
