As government and industry entities continue to implement artificial intelligence capabilities throughout their organizational strategies, it has become critical that they also build trust into the environments where these programs are deployed.
During a panel discussion dubbed “Trusted Mission AI” at Leidos‘ seventh annual Supplier Innovation & Technology Symposium, Leidos’ Chief Artificial Intelligence Officer Ron Keesing discussed how government and industry partners could ensure customers’ awareness of future AI proceedings.
“AI is not successful if humans don’t trust it, if humans don’t feel comfortable putting it into real environments where it can really operate,” Keesing said.
The panel also featured AI company leaders, including Quinn Slack, CEO of Sourcegraph; Bhavin Shah, CEO and co-founder of Moveworks and Tom Soderstrom, director of Enterprise Strategy at Amazon Web Services.
Keesing said that the balance between efficiently integrating AI capabilities and informing customers of the intricacies of these systems has become a “challenging endeavor” recently.
“So that combination of how do you build the trust and how do you get AI deployed into real mission and environments is what we make our central operating concept and what we think is really critical for helping the government take on its biggest AI challenges,” Keesing stated.
Keesing refuted the common misconception that AI will soon replace humans in the workplace, instead pushing collaboration between people and AI as the best way to implement these capabilities successfully. He introduced the “design to trust” principle, which aims to intertwine the deployment of AI technology with the “explainability” of the product itself.
“It’s really that combination of putting people and machines together in the right way to generate organic trust naturally, and then using a design to trust philosophy that we find to be central to doing this,” Keesing emphasized.
Keesing said Leidos and other organizations will have to reach a new level of modernization that facilitates “speed and scale” in government organizations, especially as they work to combat global challenges. Reaching this continued transformation will require joint systems from collaborating entities.
“Those partnerships aren’t just based on, ‘Hey, let’s go after this piece of work together,’” Keesing stated. “They’re based on how are we going to actually bring our technology together and build something better into a solution pattern we can then deploy with speed at scale for real missions.”
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