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1.97 kB
| # The Curious Lab | |
| <div align="center"> | |
| <img src="https://fatihbildirici.com/assets/images/curious-mark-light-transparent.png" alt="The Curious Lab Logo" width="300"/> | |
| <p><strong>Independent AI Research Lab</strong></p> | |
| <p> | |
| <a href="https://fatihbildirici.com/the-curious-lab.html">Website</a> • | |
| <a href="https://huggingface.co/thecuriouslab">Hugging Face</a> | |
| </p> | |
| </div> | |
| --- | |
| ## About | |
| **The Curious Lab** is an independent research laboratory focusing on the intersection of artificial intelligence, organizational dynamics, and society. We investigate how AI systems are built, evaluated, and deployed in real-world contexts. | |
| Our work emphasizes transparency, interpretability, and practical AI literacy to bridge the gap between complex model behavior and meaningful human decision-making. | |
| ## Research Areas | |
| We conduct research at the intersection of current literature, system analysis, and application context: | |
| 1. **Model Evaluation & Explainability:** Analyzing AI model behavior, evaluation metrics, interpretability methods, and operational limitations. | |
| 2. **Organizational Adoption:** Investigating how AI tools impact team decision-making, workflow practices, and responsibility distribution. | |
| 3. **AI Literacy:** Helping non-technical groups understand, evaluate, and critically apply AI systems. | |
| ## Methodology | |
| Every study at The Curious Lab begins with a clear research question: | |
| * **Question:** Define scope and research questions. | |
| * **Examination:** Analyze evidence and system behaviors. | |
| * **Sharing:** Publish findings as research notes, frameworks, or open-source artifacts. | |
| ## Connect | |
| * **Website:** [fatihbildirici.com/the-curious-lab.html](https://fatihbildirici.com/the-curious-lab.html) | |
| * **Hugging Face:** [huggingface.co/thecuriouslab](https://huggingface.co/thecuriouslab) | |
| > *"The test of all knowledge is experiment. Experiment is the sole judge of scientific ‘truth.’”* — Richard P. Feynman |