Balance of speed, scale and responsibility in AI adoption
To experiment with AI safely and gradually, Google has launched an internal initiative known as the AI Garage.
“This garage, or our AI lab, is there to test potential HR applications for AI faster than before,” says Arnish. “Currently, they are currently identifying processes and tasks specific to the specific roles across HR that AI can actually supplement,” she says.
Recruiters, HR Partners, Benefit Specialists – being evaluated for where AI can streamline tasks and improve efficiency. But the key is ensuring people are at the helm. One area of impact is recruitment and internal operations that help AI quickly identify strong candidates among hundreds of thousands of annual applications. However, it is the experienced experts who make the final decision.
Arnish admits that all this innovation depends on a state of vulnerability: trust. Data privacy and algorithm bias are at the forefront, and that's not a coincidence.
“When you're approaching AI in your HR workflow, make sure you're aware of any concerns about role impact,” she says. “Google has a set of long-standing AI principles designed to maximize the benefits of AI, but they are truly protected against risk.”
