BC NA December 2020
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Building<br />
trusted,<br />
secure,<br />
and safe<br />
AI systems<br />
Reliable, resilient,<br />
and secure AI solutions<br />
Ron Keesing,VP<br />
of AI and Machine<br />
Learning, discusses<br />
how Leidos is<br />
exploring the<br />
applications and<br />
addressing the<br />
challenges of modern<br />
automation tech<br />
Leidos’ mission is to make the world safer, healthier,<br />
and more secure. We take on some of the world’s most<br />
interesting, challenging, and data-centric problems,”<br />
says Ron Keesing, VP of AI and Machine Learning<br />
at Leidos.<br />
Among the company’s core technical competencies is the<br />
development of artificial intelligence (AI) and machine<br />
learning, which it hopes to incorporate into all of<br />
its solutions. Leidos often begins by adapting technology<br />
developed in the commercial and academic world to the<br />
missions and domains of our customers. On the DARPA<br />
ACE (Air Combat Evolution) program. Keesing says,<br />
“We’re taking a technology that came from the commercial<br />
world and using it to transform aerial combat. AI allows<br />
us to invert traditional battle paradigms, from one where<br />
many people control a single aircraft into one where a<br />
single person can control a team of manned and unmanned<br />
assets to complete complex mission objectives.”<br />
“We combine humans and machines to be able to perform<br />
these missions better and faster. Leidos’ role as an<br />
integrator of AI technology comes from many different<br />
sources, and we bring them all together into solutions<br />
that the U.S. Government can use. Currently, we’re using<br />
AI to transform the processing of veterans’ health benefits<br />
to make sure they’re receiving improved healthcare<br />
through natural language processing (NLP). This will<br />
enable faster claims and benefits processing with much<br />
higher accuracy and speed than was possible before.”<br />
Keesing emphasizes the importance of keeping up with<br />
the latest AI-based research and promoting understanding<br />
among clients regarding the best way to use it. “Many<br />
across the community are also starting to appreciate<br />
what it means for AI systems to be ethical; we wouldn’t<br />
want systems making crucial mistakes that could put<br />
human safety at risk or behave in a manner we perceive<br />
as unfair.” As such, Leidos believes in building trust<br />
between humans and AI to foster comprehension and<br />
encourage its more comprehensive application.<br />
Keesing closes by encouraging everyone, from students<br />
to senior decision-makers, to invest their attention in<br />
AI’s development. “This is such an exciting time for<br />
people thinking about launching careers in AI and<br />
machine learning, making sure how people understand<br />
AI will affect their systems and programs. Whether we<br />
want it or not, this technology is going to transform<br />
every aspect of our world, and Leidos’ is staying ahead<br />
to make sure the systems we’re building are safe, secure,<br />
and can be trusted.