How Do You Know You Can Trust AI?
A concept known as explainability helps make artificial intelligence (AI) applications seem trustworthy. But what does explainable AI mean? And how might AI change things for the better? For the worse?
Analytics
The NAICS Procurement Code: Getting It Right
A seemingly innocuous 6-digit NAICS procurement code should be more than an afterthought. It has big implications for federal agencies and acquisition teams, especially when seeking out small business entities.
Data, Talent and Tools Drive the Journey
Agencies need to harness their data to achieve mission goals. That means building an effective data culture.
Tacoma Leaders Map Disparities to Create a More Equitable Future for the City
Tacoma adopted an Equity Index map to guide decisions on everything from small business loans to utility upgrades. Here’s how it works.
Storage With the Future in Mind
Data centers use too much space and too much energy. But what if the bulky mechanical disks could be replaced with solid-state storage?
Data Ecosystems Help Agencies Succeed
The three core pillars of data transformation are people, processes and technology. Here are some pointers on how each can contribute.
Government Agencies Need Generative AI Laboratories
Government agencies need room to find out the best uses of AI to achieve their goals and to help those they serve. They need AI laboratories that provide a safe space to experiment, to find out what works, and — maybe more importantly — what doesn’t.
Artificial Intelligence 101: Definitions
The more you learn about artificial intelligence (AI), the more confused you might be. Here are some helpful definitions of the most popular forms of AI to help you make sense of it all.
What GovLoop Readers Told Us About AI
We asked GovLoop readers about their AI-related thoughts and experiences. How are people using AI? What value does it offer, and what would make agencies use the technology more? Is AI more of a benefit or a risk, and why?
Firm-Fixed-Price Contracts — What Could Go Wrong?
Federal regulations prefer that agencies use firm-fixed-price (FFP) contracts, which place all performance costs and risks on the contractor. That may sound like a good thing but, in practice, the FFP approach can be a problem.