K
Kathleen Martin
Guest
In August, the Department of Homeland Security’s science and technology directorate recently published a strategy to maximize technological opportunities from artificial intelligence and machine learning.
“Through this strategy, S&T will build and apply expertise to help the department fulfill the game-changing promise of AI/ML technologies while mitigating the inherent risks,” said Kathryn Coulter Mitchell, senior official performing the duties of undersecretary for science and technology.
The S&T Artificial Intelligence/Machine Learning Strategic Plan describes three main goals to address AI/ML opportunities and challenges.
First is driving the next-generation technologies for cross-cutting homeland security capabilities, which focuses on research and development efforts intended to advance trustworthy AI, human-machine teaming and leveraging AI/ML for secure cyberinfrastructure.
The second goal is to facilitate the utilization of proven AI/ML capabilities in homeland security missions, while the final objective is to develop an interdisciplinary workforce equipped with AI/ML competence.
With the federal government’s growing investment in AI technology to strengthen homeland security capabilities and the agencies’ initiatives in supporting this mission, AI continues to prove its vital role in the nation’s top defense strategies.
Robert Brown, chief technology officer at the U.S. Citizenship and Immigration Services, said data quality checks are vital in handling machine learning AI models.
He noted during an event that a team of employees in their department conducts cross-comparison to help in supplementing the data and training the models in play, Meritalk reported April 15.
“Those are some of the aspects that we’re doing from ensuring that we’re not only being fed good data but also doing quality checks on the data and enriching the data in that full pipeline,” Brown said.
The USCIS official added that the agency is applying cloud technologies and “will continue to do so, especially as it relates to moving the ball forward on AI and ML.”
Continue reading: https://www.govconwire.com/2021/10/dhs-seeks-to-harness-ai-ml-opportunities-through-sandt-directorate-strategy/
“Through this strategy, S&T will build and apply expertise to help the department fulfill the game-changing promise of AI/ML technologies while mitigating the inherent risks,” said Kathryn Coulter Mitchell, senior official performing the duties of undersecretary for science and technology.
The S&T Artificial Intelligence/Machine Learning Strategic Plan describes three main goals to address AI/ML opportunities and challenges.
First is driving the next-generation technologies for cross-cutting homeland security capabilities, which focuses on research and development efforts intended to advance trustworthy AI, human-machine teaming and leveraging AI/ML for secure cyberinfrastructure.
The second goal is to facilitate the utilization of proven AI/ML capabilities in homeland security missions, while the final objective is to develop an interdisciplinary workforce equipped with AI/ML competence.
With the federal government’s growing investment in AI technology to strengthen homeland security capabilities and the agencies’ initiatives in supporting this mission, AI continues to prove its vital role in the nation’s top defense strategies.
Robert Brown, chief technology officer at the U.S. Citizenship and Immigration Services, said data quality checks are vital in handling machine learning AI models.
He noted during an event that a team of employees in their department conducts cross-comparison to help in supplementing the data and training the models in play, Meritalk reported April 15.
“Those are some of the aspects that we’re doing from ensuring that we’re not only being fed good data but also doing quality checks on the data and enriching the data in that full pipeline,” Brown said.
The USCIS official added that the agency is applying cloud technologies and “will continue to do so, especially as it relates to moving the ball forward on AI and ML.”
Continue reading: https://www.govconwire.com/2021/10/dhs-seeks-to-harness-ai-ml-opportunities-through-sandt-directorate-strategy/
