Academic Program Proposal

Date Proposal Activated	Institution and Proposal	Degree Awarded	Academic Program Name	Objection Deadline
	Johns Hopkins University Proposal	Master of Science (M.S.)	Information Systems and Artificial Intelligence for Business to include an AoC in AI Design, Goverance, and Integration	7/23/2026
Information Systems and Artificial Intelligence for Business to include an AoC in AI Design, Goverance, and Integration Program Description
1. Governance Framework Design. Develop, evaluate, and adapt AI governance frameworks — including policies, organizational structures, review processes, and accountability mechanisms — appropriate to an organization&#39;s sector, scale, risk <br>profile, and regulatory environment. <br> <br>2. Regulatory Analysis and Compliance. Analyze and apply current and emerging AI regulatory requirements — including the EU AI Act, U.S. federal guidance (e.g., OMB M-24-10, NIST AI Risk Management Framework), state-level mandates, and <br>sector-specific rules (e.g., FDA AI/ML regulation, financial model-risk guidance) — to organizational AI systems and processes. <br> <br>3. AI Risk Assessment and Management. Identify, assess, and prioritize risks associated with AI systems — including bias, safety, security, reliability, and reputational exposure <br>— and design mitigation strategies that integrate into enterprise risk management Frameworks. <br> <br>4. Algorithmic Auditing and Assurance. Plan and conduct technical and procedural audits of AI systems for fairness, accuracy, robustness, transparency, and regulatory conformance, applying quantitative and qualitative evaluation methods. <br> <br>5. Responsible AI Design and Human-AI Collaboration. Apply human-centered design principles and responsible AI methodologies to the development and deployment of AI <br>systems, ensuring that systems augment human judgment rather than replace Accountability. <br> <br>6. AI Systems Integration and Lifecycle Management. Lead the end-to-end integration of AI systems into enterprise environments — from requirements definition and <br>architecture review through deployment, monitoring, and sustainment — coordinating across technical, business, legal, and compliance functions. <br> <br>7. Stakeholder Communication and Change Leadership. Communicate AI governance concepts, risk assessments, and compliance requirements to diverse audiences — including executive leadership, technical teams, regulators, and external <br>stakeholders — and lead organizational change efforts required for responsible AI adoption.