After the course, participants will be able to: 

1. Recognize where AI changes the contract between faculty and student, and name what is now actually being assessed in your courses. 
2. Operate AI as an instrument of teaching by building one working Socratic tutor for a concept in your own course. 
3. Inhabit the role of evaluator of AI output through the first-critic discipline, building the discriminating judgment that survives the technology. 
4. Redesign one current assessment using disclosure and process-trail patterns, and write the rubric line that holds the redesign together. 
5. Draft a defensible governance position on AI use that you can take to your department, college, or institution. 
6. Leave with a written four-week implementation commitment that turns recognition into changed practice. 

After the course, participants are expected to: 

1. Execute and fulfill a written four-week implementation commitment that turns classroom recognition into changed academic practice. 
2. Deploy a live Socratic AI tutor or a redesigned assessment structure in their actual classrooms using disclosure and process trails. 
3. Advocate for and present an institutional shift (assessment policy, faculty development plan, or governance stance) to senior academic leadership. 

Opening: The Frame Has Shifted 
AI contract disruption; Focus on assessment over curriculum 

Diagnostic Debrief 
AI capabilities evaluation; Identifying student gaps 

Build 1: The Socratic Tutor 
Pattern V: Faculty as Prompt Designer 

Build 2: AI as the First Critic 
Pattern II: First-Critic Discipline; Rebuttal & Evaluation 

Build 3: Assessment Redesign 
Pattern I (Process over Product); Pattern IV (Transparent Prompt); Disclosure templates 

Position Drafting 
Pattern III (In-Class Application); 3-Position Governance Framework 

Capstone: Team Pitches 
Institutional moves (Policy, curriculum, literacy) 

Commitment & Close 
Action planning; Workplace accountability 

Dr. Mario Domingo operates at the intersection of applied AI research, venture-building, executive accountability at national-platform scale, and academic formation in leadership and ethics. He currently serves as Regional Chief Technology Officer of CeQureX. Alongside this role, he holds a portfolio of advisory mandates positioned for the AI-driven transformation now reshaping enterprise, finance, and the public sector: fractional Chief Transformation and Technology Adviser to a major Philippine higher education system, a telecommunications subsidiary, and to a Philippine bank; technology adviser to the Philippine defense establishment on sovereign network architecture; and adviser on AI to senior leadership across multiple organizations. 

His prior executive lineage includes service as Chief Technology Officer and CEO Officer-in-Charge of UBX through November 2025, an early Philippine institutional venture in blockchain and digital finance. Earlier in his career, he architected high-performance computing systems in production at the Cboe/Chi-X global exchanges: market infrastructure where correctness, latency, and trust at machine speed are non-negotiable. 

He founded the Domingo AI Research Center (DARC Labs) in 2016, with work in medical imaging and cancer diagnostics, and co-founded DANATEQ Pte Ltd. in Singapore in 2010, focused on probabilistic AI for telecommunications infrastructure. 

He holds a PhD in Leadership from Ateneo de Manila University (Critical Realism; Virtue Ethics, Deontology, Utilitarianism) and undertook post-graduate study in AI at MIT CSAIL. 

Dr. Domingo is the sole resource person for this bootcamp. The patterns, builds, and frameworks taught in it are his own.