More AI & Automation Articles
Policymakers in democracies should think carefully about the risks of AI systems that provide surveillance capabilities, help repressive governments manipulate available information and spread disinformation.
When robotic process automation and artificial intelligence are added to IT asset management, agencies can optimize staff resources and improve governance and compliance.
DARPA wants supervised autonomous systems to detect and positively identify hostile agents before troops come in contact with them.
To help agencies get their bots off the ground, the General Services Administration has set up a resource where agencies can collaboratively work on their plans for robotic process automation.
Although AI offers great potential for improving government services, the dangers of abuse, misuse and bias -- whether intentional or not -- have the potential to work against the very principles democracies have been built upon.
The Aircrew Labor In-Cockpit Automation System features a customizable, drop-in kit that would allow advanced automation to be easily added to existing aircraft.
Machine learning can improve the tax process if it is trained on human-verified historical data, enables personalized returns and provides transparency into how its algorithms make decisions.
While savvier users are becoming aware about how algorithms affect their lives, consumers who have less information are relying even more on algorithms to guide their decisions.
The Intelligence Advanced Research Projects Activity wants a fully automated way to fuse and process the images and spectral data coming from space satellites so that it can spot changes across the Earth's surface in real time.
An effective, efficient service desk is an often-overlooked asset that supports the greater IT security infrastructure.
By embracing artificial intelligence-based technologies to transform their service desks, agencies can build more appealing self-service support, increase end user satisfaction and improve productivity.
Researchers at Virginia Tech are working to inject machine learning into search and rescue protocols and optimize autonomous, multi-drone teams to make searches more effective.
Patternizr's pattern-recognizing algorithms are helping the New York City Police Department find relationships among crime types with greater efficiency and less bias.
By automating data preparation and the discovery and sharing of insights, augmented analytics helps users more easily interact with data.
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