The Future of AI Hangs on Ethics, Trust
NSFs Sivagnanam believes the next several years could prove critical in laying the groundwork for the broad use of artificial intelligence.
NSFs Sivagnanam believes the next several years could prove critical in laying the groundwork for the broad use of artificial intelligence.
With properly deployed AI, maintaining a predictive security posture is possible, and the key is to focus not just on protection, but on prevention.
Using human-centered design to make AI controllable, comprehensible and predictable is vital, and the U.S. government is well-positioned to lead the charge.
Equitable listening is the backbone of leadership, from agency front lines to the C-suite. Seeking to understand the needs of those we serve is paramount.
Wondering how to position yourself as requirements for data skills increase? The Government Accountability Office could be the model you’re looking for.
Where interactions suffer is when the quality of data doesn’t match documentation requirements. Improving the citizen experience can resolve these issues.
Responsible for carrying out the election were not just poll workers and election officials, but thousands of IT staffers around the country who defended against cyberattacks.
Data breaches are getting more sophisticated, while agencies’ cybersecurity teams are being held back by manual processes and disconnected systems.
The key to mitigating the risk of security threats is leveraging AI-driven analytics to continuously monitor user behavior for proactive threat detection.
When done right, cloud computing should change how organizations think and act, whether they’re serving customers or investing in cybersecurity.