AI Audits, Assurance and Compliance: Correctives to Value Asymmetry
AI audits help determine the accuracy and reliability of AI systems, but they often don’t address whether the AI is equitable in the way it allocates value across stakeholders.
Posts Tagged: responsible AI
Confronting Bias in Artificial Intelligence
An AI system recently admitted to a featured contributor that it “flows downstream on a river of human bias” and rarely gets corrected. That should change how leaders use these tools. If you rely on AI for decisions, learn three practical ways to push back on AI bias and redirect the current.
The Rise of Human-AI Decision Teams in Government
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.
Trust Architecture: Designing Systems That Citizens Believe In
As government services increasingly move to digital platforms and AI-assisted systems, public trust is shaped not only by policy but by how those systems are designed. So, to strengthen citizen confidence while advancing modernization, agencies are implementing a trust architecture that focuses on building transparency, fairness, and reliability.
Budgeting for Inference Sprawl: FinOps + GreenOps for AI
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
On the Road to Responsible AI
AI has come a long way in the past few years, and agencies have learned a lot about best practices. The good news is there’s a growing body of guidance.