Human in the loop approach

Transcript (Maura van As):

Hi everyone. I’m Maura van As, Head of Customer Success at Sapia, and today, I wanted to talk to you about our human in the loop approach. So when we talk about ethical AI at Sapia, we always put our human in the loop approach front and center, and especially in the natural language processing industry that we operate in today with tools like ChatGPT really changing the name of the game and it coming under increased scrutiny, we are confident that the human in the loop approach is more important than ever. And also something that we’re super proud of.

A human in the loop approach allows us to get this perfect intersection where we’re combining human and machine intelligence and we’re creating smart chat experiences that are predictive, but also responsible and personalized. Ultimately, my customer success team is incredible at building definitions of success. They spend a lot of time and energy and effort building custom algorithms that are models, if you will, of success in roles across organizations, across industries, all over the world.

And ultimately, our secret weapon in building those models is a human touch, which speaks to the irony of how even the most advanced technologies requires the human touch, human judgment, human oversight. We can’t live without that. And our human touch is actually our clients. So we bring our client experts to the table. Really, the rule of thumb with machine learning is what you put into it is what you get out of it. And our client experts are the owners of success, performance, of culture, of future proofing talent in our organizations. So we give them a seat at the table to make sure that we create and build with them so that we feel confident we’re teaching our AI what matters most, and we are continuing to teach it. We are continuing to evolve it, iterate on it, and retrain it.

And that makes us feel confident that our AI is accurate but also appropriate, and that we’re creating natural experiences for users that feel human and feel real. And it also speaks to the way that we partner. We set a real sense of joint accountability in our partnerships around validating and governing these models over time. So we constantly validate for accuracy, for fairness, and we retrain and teach our models to evolve in time. So really, this is a shout-out to our clients. You are the human in the loop for us. You bridge the gaps that AI can’t on its own. You make sure that we build responsible models and you are pioneers in building ethical AI with us in market every single day. So thank you.

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