Dan Chenok

The event brought together federal agency leaders, congressional staff, industry, and academic experts to discuss the complexities of improving payment integrity. Participants explored challenges, opportunities, and solutions for using artificial intelligence (AI) to tackle improper payments, which includes fraud, waste, abuse that could affect overpayments, underpayments, and disbursements to recipients.

Blog Author:  Chuck Royal, Associate Partner, Data and Technology Transformation

As AI continues to change how government operates, this series will explore the applications of AI in the public sector, innovative case studies, use cases, and the potential impact on governance, service delivery, and citizen engagement.

Abundant opportunities exist for Al-driven transformation of critical federal government programs to enhance efficiency, strengthen citizens’ trust in government, and bolster national security. For example, secure industry-hosted shared services platforms, for functions like human resources, represent a significant opportunity for agencies to rapidly tap the efficiency benefits of technologies like AI.

Governments today increasingly face the challenge of how to integrate transformational digital technologies like artificial intelligence, while maintaining or modernizing legacy infrastructure and applications.  This challenge is compounded when officials seek to create value for the public from digital modernization when those technologies have evolved via different strategies, including “waterfall” approaches that often take longer to implement than “agile” approaches.

Earlier this year, our Center welcomed proposals to learn of real-world examples of where government organizations have implemented strategies and capabilities that have improved their mission resilience to be “future ready” and prepared to respond to disruptive events. We sought out case studies within five key domain areas: emergency preparedness and response, cybersecurity, supply chain, climate sustainability, and workforce development. (Learn more about our future shocks initiative).

Since the turn of the millennium, pandemics, heat waves, wildfires, floods, cyberattacks, supply chain interruptions, and other crises have deeply stressed governments, communities, businesses, and individuals around the world. This cascade of catastrophic events raises fundamental questions about how governments can anticipate, prepare for, and respond to these and other shocks yet to come.

Generative AI refers to algorithms that can create realistic content such as images, text, music, and videos by learning from existing data patterns.  Generative AI does more than just create content, it also serves as a user-friendly interface for other AI tools, making complex results easy to understand and use. Generative AI transforms analysis and prediction results into personalized formats, improving explainability by converting complicated data into understandable content.

Cybersecurity and government operations leaders gathered recently for an interactive roundtable discussion on “Building Cyber Resilience for Critical Infrastructure Protection.”  Convened by the IBM Center for The Business of Government, the IBM Institute for Business Value, and the National Academy of Public Administration, the roundtable identified practical actions that government agencies can take to keep the public safe and secure. 

When the government distributes supplemental funding to address various national emergencies such as the global pandemic, time is of the essence. Putting money quickly in the hands of Americans in need benefits vulnerable segments of the American population and stabilizes the nation in a time of crisis. At the same time, transparency and accountability mechanisms are essential to safeguard these taxpayer dollars and maintain public trust.

With over 30 years of federal experience, Dr. Hardy brings a wealth of knowledge and expertise in risk management and leadership. Her background includes senior roles at the National Institutes of Health (NIH) and the U.S. Department of Commerce, where she served as the Director of Risk Management and first Deputy Chief Risk Officer.