Balancing AI’s Power with Privacy

Artificial Intelligence (AI) has incredible potential to speed decision-making and unearth connections between data to inform government services and programs. AI is being implemented across government and private industry with very little policy or regulation as to its development or use. In many ways, this lack of oversight is driving exciting innovation, but as this innovation leads to new uses, the risks of infringing on citizen rights and privacy increase.

Peter Parker (Spiderman) was warned, "with great power comes great responsibility." Similarly, AI developers need a voice providing gentle guidance as they figure out how best to use AI's power for good. In the fall of 2022, the White House released the AI Bill of Rights, designed to address concerns about how, without some oversight, AI could lead to discrimination against minority groups and further systemic inequality. Continue reading

Beyond Facial Recognition: Growing Applications of Biometrics in Government

Biometrics are more than facial recognition. Biometrics include all types of biological markers that can be used for identification. Fingerprints pre-date the use of facial recognition and today the practice continues to evolve to use other biological data for a wide variety of use cases.

Tapping into wearable data for first responder safety

The Department of Homeland Security recently funded several startups that have developed innovative monitoring technologies that can be used to protect the health, safety and mental well being of police officers, firefighters, and other emergency responders. These solutions include: Continue reading

Citizen Service for the Most Vulnerable

Citizen experience is a key priority across government. Agencies are taking a new look at citizens as customers and simplifying how they deliver services. At no time is that simplification more important than at times of crisis. The government provides critical support to citizens impacted by natural disasters, public health emergencies, terrorism, and economic insecurity. There are some incredible examples of how government is applying technology to meet the needs of vulnerable populations.

Supporting Homeless Populations

Austin, TX is using the Homeless Emergency Management (HEM) Tracking and Prioritization Tool as part of its larger efforts to understand and support the city's homeless population. Field staff use the tool to capture information about homeless encampments that includes factors related to health, safety, and impacts on infrastructure, property, and environmental health. This data is collated into a score that helps prioritize areas for intervention.

Before this tool, departments across the city were collecting different information and had no uniform way to evaluate it. The HEM Tool applies a citywide lens to encampment response, enabling prioritization and resource deployment to those that present the biggest risks, supports consistent encampment data capture, and improves citywide understanding of needs, risk and trends. Continue reading

Charting the Future of Defense

The National Defense Strategy (NDS) sets the strategic direction for our military to meet the security threats of tomorrow. Overall, the Defense Strategy focuses on China and Russia as the primary adversaries, but it also emphasizes the importance of global cooperation among allies as well as adversaries to meet threats that are bigger than any one country including climate change, food insecurity, and pandemics. The defense strategy lays out three primary tactics for advancing U.S. and global security.

Integrated Deterrence

The practice of integrated deterrence involves working closely across all branches of the military, warfighting domains, and even across other federal entities to ensure national security. It expands responsibility for deterring adversaries beyond the Department of Defense (DoD), involving the intelligence community, health agencies, environmental agencies, and more. Continue reading

Learning to Love Machine Learning in Government

Machine Learning (ML) and other aspects of Artificial Intelligence (AI) are becoming a critical part of government modernization plans. The fear that "machines will replace people" has largely disappeared. In fact, people see the benefit that ML provides for human workers. ML technology allows machines to do what they are best at - fast computation of large data sets - freeing up humans to do what they do best - analyzing and making sense of the data produced.

The new reality is that while machines will not replace people, those that refuse to adopt and adapt to AI-enabled tools may in fact find themselves replaced by other people that do. The proof is in the pudding. ML tools are helping government teams meet critical challenges of unemployment fraud, natural disasters, racial equity, and healthcare. Continue reading