Carnegie Mellon Accenture Center of Excellence for AI

The Carnegie Mellon Accenture Center of Excellence for AI (ACE-AI) explores how artificial intelligence can advance workforce training to meet the growing demand for technology skills. The center focuses on enhancing training processes, creating modular and reusable content, and analyzing learning data for improved outcomes. It develops personalized training experiences, builds AI agents that serve as tutors, coaches, and career counselors, and uses AI tools to assess learner capabilities while identifying at-risk learners for timely interventions.

ACE-AI combines Carnegie Mellon’s expertise in developing and deploying AI systems with Accenture’s leadership in training solutions to advance the use of AI in workforce development and strategy. 

Deployment Modeling

This stream of work models organizational workflows to capture tasks, their frequency, and their skill requirements, then develops methods to determine how those tasks are best assigned to humans, AI-assisted humans, or autonomous AI agents. The modeling makes it possible to test re-engineered workflows and to identify the new learning and skilling requirements that emerge as AI reshapes work.

Designing Training Programs and Content Generation

Another focus is on designing training programs with AI. This includes analyzing how jobs are changing, predicting the skills workers will need, and creating customized pathways that prepare learners for those roles. ACE-AI also explores the use of generative AI for content creation. This involves producing learning activities, practice exercises, and assessments that are tailored to a learner’s background and goals. For example, a concept can be explained through different real world contexts, or practice problems can be varied to match a learner’s level of understanding. These capabilities make instruction more adaptive, relevant, and efficient.

Workforce Training Delivery with AI

ACE-AI explores how AI can directly improve the training experience. Intelligent tutors are extended with generative AI to support reflective learning, while AI systems assist HR and training managers in designing programs tailored to organizational or cohort needs. Learner profiles are integrated with workplace requirements to dynamically guide training paths, and AI-powered feedback helps address misconceptions and debugging strategies during assignments.

AI for Learning Analytics

The center also advances learning analytics by integrating behavioral data across AI tools. This work supports early detection of at-risk learners, helps diagnose misconceptions, and provides actionable insights for instructors and administrators. Reports and dashboards are designed to give decision-makers the information they need to refine training and improve outcomes for diverse learners.