Update ai-lab.md

Author: clizarraga-UAD7

docs/ai-lab.md

@@ -1,26 +1,26 @@
-# University of Arizona _AI Lab_
-
+# University of Arizona _AI Innovation Lab_
 
+**AI Innovation Lab = AI iLab** (Temporary name)
 
 
 ### 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.
+The **AI iLab'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.
+The **AI iLab'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.
+Building on **AI iLab**'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).
+**AI iLab** 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
+## Research-Focused Roadmap and Strategies for **AI iLab**'s Transformation
 
-**AI Lab** will collaborate with teams of the AI Research Institute,  to address the three pillars of America's AI Action Plan:
+**AI iLab** 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.
@@ -48,7 +48,7 @@ Strategies will use existing consultation, training, and partnerships to enhance
     - **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.
+    - **Focus:** Provide consultation on secure AI technologies and cybersecurity. Use **AI iLab** 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
@@ -85,9 +85,9 @@ A complete transformation is a long-term goal, but these initial 3-month milesto
 - **Goal 3.1: Develop Ethical & Security Framework for AI Research.**
     - **Milestone:** Partner with AI Research Institute and DSI to **draft an "Ethical and National Security AI Research Framework"** covering security risks in frontier models, biosecurity, and protecting American values.
         - **Measure:** Framework document submitted for review; **conduct 1 internal training session** on implementation.
-	- **Goal 3.2: Establish **AI Lab**'s Role in AI Ecosystem.**
-	    - **Milestone:** Create **referral channels** between **AI Lab** and the AI Research Institute. Participate in **2+ planning meetings** to integrate **AI Lab** services into strategic initiatives.
-	        - **Measure:** Documented referral process; representation in key meetings; ****AI Lab** featured in one official Institute communication**.
+	- **Goal 3.2: Establish **AI iLab**'s Role in AI Ecosystem.**
+	    - **Milestone:** Create **referral channels** between **AI iLab** and the AI Research Institute. Participate in **2+ planning meetings** to integrate **AI iLab** services into strategic initiatives.
+	        - **Measure:** Documented referral process; representation in key meetings; ****AI iLab** featured in one official Institute communication**.
 
 ### Feasibility in a 3-Month Timeline
 
@@ -97,7 +97,36 @@ These initial steps will:
 
 - **Pivot research services** to align with national AI Action Plan and University priorities.
 - **Utilize existing partnerships** (AIRI, CyVerse, UITS) to deliver high-value support.
-- **Show **AI Lab**'s value** as a key enabler for AI research within the new Research Institute.
+- **Show **AI iLab**'s value** as a key enabler for AI research within the new Research Institute.
 - **Create a foundation** for future program expansion and research integration.
 
-This 3-month sprint will establish **AI Lab** as a catalyst in the University's AI research agenda.~
+This 3-month sprint will establish **AI iLab** as a catalyst in the University's AI research agenda.
+
+
+### Existing AI Laboratories 
+
+* [Berkeley Artificial Intelligence Research - BAIR](https://bair.berkeley.edu/). BAIR brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, robotics, and more.
+* [Cornell AI Innovation Lab](https://it.cornell.edu/ai-innovation-lab). At the GenAI Innovation Lab, we believe in the power of collaboration to tackle previously unsolvable challenges. Our projects focus on building AI Agents and Custom RAG Applications to push the boundaries of what's possible.
+* [Harvard AI and Robotics Lab](https://wang.hms.harvard.edu/). Harvard AI and Robotics Lab strives to transform human wellbeing through the power of artificial intelligence and robotics.
+* [Hopkins AI Lab](https://it.johnshopkins.edu/ai/hopkins-ai-lab/). The Hopkins AI Lab offers members of the Johns Hopkins community secure and easy access to Large Language Models (LLMs) from industry leaders including OpenAI, Anthropic, and Meta. Developed by IT@JH, this secure environment mitigates security and privacy risks while ensuring that data remains protected. The objective is to make artificial intelligence accessible to the entire organization in support of the university’s mission of knowledge for the world.. 
+* [Michigan AI Laboratory](https://ai.engin.umich.edu/). Artificial Intelligence (AI) research
+at the University of Michigan is comprised of a multidisciplinary
+group of researchers conducting theoretical, experimental, and
+applied investigations of intelligent systems.
+Current projects include research in cognitive architectures,
+distributed systems of multiple agents, machine learning, data
+mining, computer vision, natural language processing, robotics,
+computational healthcare, human computing, and computational
+social science, and others. ([Flyer](https://ai.engin.umich.edu/wp-content/uploads/sites/8/2023/04/AI-Lab-Flyer-2023.pdf))
+* [MIT CSAIL](https://www.csail.mit.edu/). MIT's Computer Science and Artificial Intelligence Laboratory pioneers research in computing that improves the way people work, play, and learn.
+We focus on developing fundamental new technologies, conducting basic research that furthers the field of computing, and inspiring and educating future generations of scientists and technologists.
+* [MIT-IBM Watson AI Lab](https://mitibmwatsonailab.mit.edu/). We are a community of scientists at MIT and IBM Research. We conduct AI research and work with global organizations to bridge algorithms to impact business and society.
+* [Princeton AI Lab](https://ai.princeton.edu/ai-lab). At Princeton, nimble, cross-disciplinary research teams accelerate AI discovery by bypassing traditional university bureaucracy. Top engineers, scientists, humanists, and policy experts collaborate through a deeply interdisciplinary approach to problem solving.
+* [Stanford AI Lab - SAIL](https://ai.stanford.edu/). SAIL remains a proud leading intellectual hub for scientists and engineers, an education Mecca for students, and a center of excellence for cutting edge research work. ([Brochure](https://ai.stanford.edu/wp-content/uploads/2020/12/SAIL_Brochure_2020_LowerRes_S.pdf))
+* [Wharton Generative AI Labs - UPenn](https://gail.wharton.upenn.edu/). We combine research and prototyping to create AI applications that will change how we work and learn.
+
+
+
+***
+
+(Updated: 8/25/2025) C. Lizarraga