This virtual presentation explores project managers’ perspectives on AI integration, highlighting efficiency gains, emerging challenges, and the continued need for human oversight in AI-supported decision making.

This virtual presentation examines consumer perceptions of privacy and trust in everyday AI-enabled products, highlighting concerns about data collection, transparency, and organizational accountability.

This virtual presentation introduces a JAX-based, fully differentiable framework for accelerating Bayesian inference through exact gradient computation and advanced sampling methods such as Hamiltonian Monte Carlo and Stochastic Variational Inference.

SAFESwarm introduces a structured machine learning assurance framework that enables verification and certification of emergent behavior in collaborative robotic swarms.

This research examines how individual experience and the skill to apply knowledge create competitive advantage when standardized codified information is removed, using professional golf as a natural experiment.

This session equips management professionals with the critical data literacy skills needed to evaluate quantitative research, recognize bias, and translate statistical findings into informed strategic decisions.