created AI-Lab

Author: clizarraga-UAD7

docs/ai-lab.md

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+# University of Arizona _AI Lab_
+
+
+
+
+### Mission
+
+The **AI Lab's mission** is to position the University of Arizona as a leader in America's AI global competitiveness by developing advanced AI skills and fostering innovation. Through training, workshops, and consultations, it aims to help the academic community integrate cutting-edge AI systems into their work, contributing to national priorities and security.
+
+### Vision
+
+The **AI Lab's vision** is to serve as a catalyst for the University's prominence in the AI landscape and as a key component of the new AI Research Institute. It focuses on responsible development and adoption of frontier AI technologies, aligning with the US Government's AI Action Plan to accelerate innovation, strengthen infrastructure, and support international leadership in AI.
+
+***
+
+Building on AI Lab's mission to develop data science skills and incorporate AI systems for knowledge discovery, and its vision as an innovation hub for AI adoption, below is a roadmap with strategies for a 3-month timeline and priorities.
+
+AI Lab will collaborate with DSI and CyVerse to address the three pillars of America's AI Action Plan: Accelerating AI Innovation, Building American AI Infrastructure, and Leading in International AI Diplomacy and Security. Strategies will use existing consultation, training, and partnerships to enhance research capabilities, promote ethical AI practices, and drive discovery across University research pillars (Energy, Defense, Health, Space Sciences, and Data/AI Systems).
+
+
+## Research-Focused Roadmap and Strategies for AI Lab's Transformation
+
+AI Lab will collaborate with teams of the AI Research Institute,  to address the three pillars of America's AI Action Plan:
+1. Accelerating AI Innovation,
+1. Building American AI Infrastructure, and
+1. Leading in International AI Diplomacy and Security.
+
+Strategies will use existing consultation, training, and partnerships to enhance research capabilities, promote ethical AI practices, and drive discovery across University research pillars (Energy, Defense, Health, Space Sciences, and Data/AI Systems).
+
+
+### Major Part 1: Elevate Research Support for AI Innovation
+
+**Priority: High** – Accelerates knowledge discovery and application of powerful AI systems.
+
+- **Strategy 1.1: Advanced AI Application and Frontier Model Consultation.**
+    - **Focus:** Reposition consultation services for specialized support with frontier AI models (Generative AI, Vision Transformers, NLP) emphasizing interpretability and robustness. Target projects driving AI-Enabled Science across UA's research pillars in water systems, space phenomena, health, and education.
+    - **Desired Outcomes:** Research projects demonstrate transformative AI applications leading to scientific advancements and competitive funding.
+- **Strategy 1.2: Research-Oriented AI Literacy and Open Innovation.**
+    - **Focus:** Expand workshops to cutting-edge AI topics relevant to research challenges, including Open-Source AI methodologies, domain-specific machine learning, and interdisciplinary collaboration approaches.
+    - **Desired Outcomes:** Research community equipped with advanced AI skills, collaborating to tackle complex questions not achievable individually
+
+
+### Major Part 2: Strengthen AI Research Infrastructure and Security Practices
+
+**Priority: High** – Supports "Build American AI Infrastructure" pillar through secure, scalable research environments.
+
+- **Strategy 2.1: Optimize AI Computational Resources.**
+    - **Focus:** Partner with UITS Research Computing, CyVerse, and DSI to optimize AI workloads on HPC, Jetstream2, and cloud platforms, including large-scale data visualization support.
+    - **Desired Outcomes:** Researchers effectively use advanced computational resources for large-scale AI models, supporting energy generation and grid strengthening for AI leadership.
+- **Strategy 2.2: Implement Secure AI Practices.**
+    - **Focus:** Provide consultation on secure AI technologies and cybersecurity. Use AI Lab and DSI expertise in privacy-preserving AI methods for sensitive health and security research.
+    - **Desired Outcomes:** Research meets high security and privacy standards, protecting innovations and building AI system trust.
+
+### Major Part 3: Drive AI Research for Global Leadership and Security
+
+**Priority: Medium-High** – Positions UA as a leader in responsible AI, aligning with national security and diplomacy goals.
+
+- **Strategy 3.1: Proactive Engagement in National Security and Biosecurity AI Research.**
+    - **Focus:** Support research projects addressing security risks in frontier models and biosecurity, including Space Domain Awareness and health-related projects.
+    - **Desired Outcomes:** UA research contributes to national security objectives and prevents "adversaries from free-riding on our innovation."
+- **Strategy 3.2: Foster Ethical AI and American Values in Research Design.**
+    - **Focus:** Develop guidance on ensuring frontier AI protects free speech and American values in research planning. Promote ethical considerations in AI outcomes and data use.
+    - **Desired Outcomes:** Research that is innovative, ethically sound, and aligned with societal values, advancing America's leadership in responsible AI.
+

mkdocs.yml

@@ -29,6 +29,7 @@ nav:
     - 'LEAD Program': mlpaths_grids.md
     - 'TREX: Training for Research Experience' : 'https://github.com/ua-datalab/TREX/wiki' 
     - 'PHIRE': phire.md
+    - 'AI Lab': ai-lab.md
 
 
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