I've been saying this for several years now, but perhaps I've never put it as well as Eva Nahari's conclusion did. I couldn't agree more!
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A model is only as good as the data you feed it. A model is only as responsible or considerate as you teach it. We need reliable data. We need inclusive thinking in model design. We need ways to quickly assess bias or fakeness in data. We need to innovate to make it scalable for Enterprises. We all need to strive towards ML being the better version of humankind.
Damn it Eva. Why did you stop writing? Love this writing!. You can write a guest post for me anytime.
I've been saying this for several years now, but perhaps I've never put it as well as Eva Nahari's conclusion did. I couldn't agree more!
---
A model is only as good as the data you feed it. A model is only as responsible or considerate as you teach it. We need reliable data. We need inclusive thinking in model design. We need ways to quickly assess bias or fakeness in data. We need to innovate to make it scalable for Enterprises. We all need to strive towards ML being the better version of humankind.