About Us We aim to establish a catalytic leadership community for the AI era in higher education. This StratML Part 1 rendition has been prepared from the contents of https://aiconvergence.ai/, https://aiconvergence.ai/framework, https://aiconvergence.ai/experience, and https://aiconvergence.ai/about. The content has been structured to reflect the organization's apparent intentions, stakeholders, values, goals, and objectives in conformance with ISO 17469-1. ^^ Submitter's Note: It has been compiled by ChatGPT and lightly edited in the form at https://stratml.us/forms/Claude/Part1.html AI Convergence AIC d3bcbd5d-83d4-4a70-8bce-4df1a47c7e78 AI Convergence is a catalytic leadership community for the AI era and an initiative of Inspire Higher Ed, focused on helping higher education leaders navigate AI transformation through convenings, peer learning, leadership circles, fellows development, standards, and institutional action planning. Sandeep Krishnamurthy Founder and Principal; Singelyn Family Dean of the College of Business Administration at Cal Poly Pomona; former Dean of the University of Washington Bothell School of Business; advocate for leveraging generative and agentic AI to maximize human potential. Tawnya Means Founder and Principal; Founder and Principal at Inspire Higher Ed; Strategic Innovation and AI Advisor at Bowling Green State University; Chief Learning Officer at AristAI; specialist in AI integration and educational transformation. AIC Advisory Board Our Advisory Board brings together leaders from across higher education, technology, and industry who share our commitment to thoughtful AI transformation. Dr. Lisa Abendroth Advisory Board member; Associate Professor of Marketing and former Associate Dean at the University of St. Thomas; founder of the Business in a Digital World initiative. Raman Randhawa Advisory Board member; Professor of Data Sciences and Operations at USC Marshall School of Business; former Senior Vice Dean; AI entrepreneur and institutional innovation leader. France Hoang Advisory Board member; Founder and CEO of BoodleBox; contributor of AI-enabled learning infrastructure, equitable access, and human-centered technology expertise. Paul Pavlou Advisory Board member; Dean of Miami Herbert Business School at the University of Miami; leader in AI-driven innovation, research productivity, executive education, and student career placement. Dean Goon Advisory Board member; Dean of Academic Innovation at Embry-Riddle Aeronautical University; advocate for generative AI approaches that cultivate cognitive and socio-emotional capabilities alongside AI fluency. Alex Sevilla Advisory Board member; Founding Head of Impact at DriveX; higher education strategist connecting institutional strategy, AI innovation, implementation, and career impact. Javier Reyes Advisory Board member; Chancellor of the University of Massachusetts Amherst; public higher education leader focused on AI transformation, access, equity, mission, governance, and economic development. Joe Abraham Advisory Board member; CEO of IntelliCampus; entrepreneur and author contributing EdTech, data intelligence, and experience design perspectives. Inara Scott Advisory Board member; Senior Advisor for Strategy and Innovation and Professor of Business Law at Oregon State University; contributor of legal, governance, strategy, and AI integration expertise. Matt Alex Advisory Board member; Executive Vice President for Growth and Client Partnerships at Core Education; contributor of career outcomes, employer expectations, higher education transformation, and implementation expertise. Higher education leaders transform AI uncertainty into human-centered institutional capability. 36a5d0d6-b064-415f-b0c8-c7203ce71884 To support higher education leaders in developing mission-aligned AI strategies, institutional capability, ethical leadership, human+AI fluency, and accountable action through curated convenings, peer learning, leadership circles, fellows development, and shared standards. 2ce77438-3a1d-49cc-85b9-ab5caac17f7f Leadership Lead with integrity, ethical reasoning, and courageous experimentation in every AI decision. Partnership Amplify human capability through reciprocal Human+AI collaboration that preserves relationships, empathy, contextual judgment, and wisdom. Mission Strengthen each institution's distinct mission, identity, student population, and values rather than imposing a generic model. Evidence Illuminate transformation with evidence of outcomes, impact, capability, and institutional effectiveness. Development Strengthen institutions without judging them, meeting leaders at their current starting points and helping them reach their next frontiers. Action Convert convening, dialogue, and peer learning into concrete implementation plans and institutional momentum. Community Sustain transformation through long-term relationships, honest dialogue, peer accountability, and shared learning. Framework Provide a coherent framework of beliefs, principles, and standards for AI transformation in higher education. 1498a39b-34b9-45a1-8185-275b4383ef64 1 Pillars Define the philosophical foundation for AI-infused education through ethical leadership, courageous experimentation, Human+AI partnership, mission-centered implementation, enabling conditions, and evidence-informed transformation. 4cc9a5ae-c893-4d49-b063-fb443e5936db 1.1 Principles Shape community practice through developmental support, leader transformation, gap-closing community, action-oriented design, and sustained movement beyond one-time events. 66d14e04-4431-4688-9819-dc79a5645746 1.2 Standards Clarify institutional commitments for ethical AI leadership, experimentation, Human+AI collaboration, contextual implementation, infrastructure and professional development, and student agency and AI fluency. 0b5f4820-ad0d-4bc6-8923-470de71a546d 1.3 Levels Use emerging, growing, and established developmental levels to help institutions understand their progress without treating the standards as evaluative compliance requirements. a789353c-8931-45ac-8a03-5843de704a3f 1.4 Leadership Develop higher education leaders who can guide AI transformation with clarity, courage, mission alignment, and institutional accountability. ceb6353e-d5e8-47ea-8bb6-f778e928e0fa 2 Transformation Help leaders transform first so their institutions can change through clearer judgment, stronger coalitions, and readiness to lead through uncertainty. aa35bd20-b27b-4a38-8960-7096ce3c9d9b 2.1 Experimentation Create protected spaces for experimentation while maintaining accountability to boards, accreditors, students, faculty, employers, and institutional missions. 88c81bb5-9fde-48eb-9316-b5edf5e37f70 2.2 Honesty Create confidential spaces where leaders can discuss failures, uncertainty, resistance, and implementation barriers without performative positioning. 5e23e5b9-7a7d-45ad-b416-95d33314badf 2.3 Convenings Conduct working convenings that enable institutional pairs to build AI strategy together rather than passively attend presentations. 874fc76c-d116-4e4f-a1d2-308435360fe2 3 Community Curate a selective community of leaders who are committed to deep engagement, honest sharing, implementation follow-through, annual participation, and Transformational Leadership Circle membership. 098f7021-c395-4356-b311-7f219f275530 3.1 Pairs Require each senior leader to bring an empowered implementation partner so strategy, design, and follow-through can be shared by those able to drive institutional action. 6ba18dc3-09c2-41e5-a267-2517dd0347cf 3.2 Composition Balance each convening with institutional pairs, technology partners, and industry experts so participants learn from higher education peers, frontier AI builders, and employer voices. 889233a7-8224-4291-bdd7-eb993e00dbde 3.3 Agenda Provide plenaries, dialogues, demos, working sessions, track sessions, peer networking, readiness diagnostics, case studies, and action planning. 9486aa19-5281-4eed-9ef6-88347dfc614d 3.4 Tracks Organize deeper work around the major institutional domains affected by AI transformation. fc56b6e7-9889-48eb-bd81-28d75bd0a7ca 4 Students Advance AI-enhanced pedagogy, student AI fluency, assessment redesign, advising, career coaching, and closure of the employer trust gap. a357d34f-90bc-4702-937d-6c4c106320af 4.1 Faculty Build faculty AI fluency from basic prompting to agentic workflows while supporting psychologically safe experimentation and shared governance. 45203a64-a8e7-4391-8251-d0ec10354671 4.2 Infrastructure Address enterprise AI platforms, data governance, AI policy development, ownership disputes, and operational AI applications. 284e42a9-72d1-4a06-b590-260fc63a2ec5 4.3 Implementation Help institutions convert AI awareness into actionable, mission-aligned implementation plans and measurable progress. 890fca7e-7c4b-49f5-9bc5-9035606b82e4 5 Diagnostics Assess institutional AI readiness against the AI Convergence standards and identify practical next steps. 9ab25a7b-a042-4a3f-9c9d-38981026abf3 5.1 Plans Enable institutional pairs to leave the convening with a 90-day action plan that advances existing momentum rather than creating dependency on generic templates or consultants. ee20ba8e-2141-4b06-b140-606ed5219e14 5.2 Measurement Encourage institutions to measure outcomes and impact rather than merely announcing initiatives, adopting tools, or forming task forces. cf375a99-d659-4993-ad6d-0415dd9d03c9 5.3 Fluency Ensure graduates develop demonstrable AI fluency through authentic application, critical judgment, and evidence of capability. 6382e55f-053f-4948-91cf-cb7853a03ff5 5.4 Continuity Sustain transformation beyond the inaugural convening through ongoing community structures and leadership development. 953cf716-a363-4887-abec-93348e72fe68 6 Circles Provide monthly peer groups of six to ten leaders facing similar challenges in confidential spaces for honest conversation, support, and accountability. 58aec86b-7ee0-45c7-9f36-88042f41539a 6.1 Fellows Develop emerging AI champions through a 12-month leadership program that includes mentorship, structured development, institutional strategy work, and field-level thought leadership. d9f695aa-60eb-488b-866d-bd5dbdfd6bb8 6.2 Relationships Deepen relationships across convenings, leadership circles, fellows cohorts, institutions, technology partners, and industry experts. d904fc82-54bc-45fb-ac1a-a8cfc1bb7aa5 6.3 Partnerships Engage technology partners and industry experts as genuine community members who contribute learning, discovery, employer insight, and implementation realism. 7e136001-db8b-4b27-9850-a77cdf59c041 7 Technology Include technology founders, product leaders, and engineers as sources of frontier AI expertise and honest perspective without sales pitches. f839bd87-86bc-4c66-b814-73f6e79c821b 7.1 Industry Include employers, workforce leaders, and practitioners who can explain how AI is reshaping work, skills, hiring, and graduate readiness. f17ce11c-acf8-46df-8ae5-2f2b6bad5fe7 7.2 Reciprocity Treat partners as genuine community members while asking them to contribute candidly to learning, institutional understanding, and product or practice improvement. 0aa849d5-f3ca-4152-a919-89aac164c817 7.3 2026-06-21 2026-06-23 2026-05-31 https://aiconvergence.ai/ Owen Ambur Owen.Ambur@verizon.net