The integration of AI into work is already leading to advancements. So, how can employers build confidence as people use AI technology at work?
At the World Economic Forum in Davos, ADP President and CEO Maria Black shares the key design principles that drive confident AI adoption.
For more insights from Davos, click here.
Maria Black, ADP President and CEO
The number one way to ensure that you bring employees along, and that they find this technology useful, is to make it work
Nick Johnston, Editor, Axios
How do you bring employers- employees... Actually both employers and employees along on this journey.
Maria Black
Yeah. So I think the first thing is to make sure that your design principles ultimately bring bring them along. So when I think about how we're designing, what it is that we do inside of ADP, but also how we're designing it for the world of work, we have this incredible data set. Nela spoke a lot about it.
We have this ability to listen to the world of work. We also have this ability to listen to our clients as they are navigating, supporting all of their employees through this world. And so as as we think about that, that's fundamentally shifted how we think about our design principles. The number one way to ensure that you bring employees along, and that they find this technology useful, is to make it work and to actually make it automating- yeah- as it's automating the tasks.
You want to ensure that it's useful. And I think part of that is shifting left some of that domain expertise. So in our case, you know, we're in a compliance based business, a knowledge based business. You have to put ethics. You have to put compliance. You have to put that into the design principles of how you're thinking about it.
I think the other part is keeping the human in mind. So all of this has tremendous impact on workers. Nela mentioned this earlier as all these tasks are being disintermediated. This is how self-worth and how employees have been valued in their space and their expertise. And so as that gets disintermediated, you have to solve for that. You have to create structures.
And this is a lot of the work that we are doing with our clients is we're listening. We're setting up products and services to create structures that actually measure this output. So what is the output now? What does productivity look like? And on the other side, as tasks do become more strategic they're harder to measure. But you have to solve for that.
You have to have tools that are dynamic flexible, that ultimately solve this.
