Research

The Center’s research is anchored in two core themes: AI-First Experiences and Processes, which reimagines enterprise functions through agentic AI and next-generation user experiences that drive efficiency, intelligence, and innovation; and Responsible, Sustainable AI, which ensures that emerging technologies are developed with fairness, transparency, security, and environmental stewardship at their core. Together, these efforts position the Center as a leading hub for shaping how enterprises design, implement, and scale AI systems that are both transformative and trustworthy.

Themes

Focus: advancing the development of AI-native systems that reimagine enterprise functions from the ground up; for example, AI agents that transform business workflows and user experiences.

Advancements in AI are transforming how humans interact with technology—moving beyond clicks and touchscreens to natural, conversational experiences through voice and free-form text. These intelligent systems can not only understand and anticipate user needs but also reimagine entire business processes by eliminating unnecessary tasks and layers. By rethinking both the user experience and the underlying operational models, organizations can unlock new forms of value, drive innovation, and achieve superior outcomes. The Center’s work in this area focuses on three key priorities: developing new interactions and experiences through personalized and intuitive interfaces; advancing process reimagining to enable streamlined workflows, intelligent decision-making, and enhanced efficiency; and leveraging data-driven insights for predictive analytics, actionable intelligence, and informed strategy development.

Focus: Fairness, accountability, transparency, and sustainable AI systems; For example, ensuring that AI solutions are ethical, secure, transparent, and aligned with societal values.

As generative AI systems grow more powerful and pervasive, they bring not only new opportunities but also complex ethical, regulatory, and environmental challenges. Enterprises across the globe are confronting critical issues of data privacy, security, fairness, and bias—made even more urgent by the rapid evolution of AI models. At the same time, forward-looking organizations are embracing sustainable computing practices, recognizing AI’s potential to optimize energy use, minimize waste, and accelerate the integration of renewable energy sources. The Center seeks to ensure that AI innovation advances responsibly and sustainably—balancing progress with accountability and environmental stewardship.

Our work focuses on six key areas: strengthening cybersecurity at both the dataset and model levels to safeguard against tampering and manipulation; advancing explainability and model auditability to foster trust and informed oversight; building responsible AI frameworks that embed ethics and risk mitigation into enterprise systems; improving energy efficiency through AI-driven optimization of data center cooling, power management, and utilization; enabling renewable energy integration for greener infrastructure and greater grid stability; and accelerating sustainable material design to support environmentally conscious computing. Together, these efforts aim to create an AI ecosystem that is secure, transparent, and sustainable—responsible by design.