Press
As a leader in the space since 2016, IV.AI has been openly sharing best practices alongside real examples of data validation in press and at global conferences. The goal is to showcase how AI can be deployed in the real world while managing bias, ethical data usage, and deeply technical challenges such as model drift or misinformation analysis.
Here are some of the +200 articles featuring IV.AI. Please get in touch if you'd like to partner on moving ethical AI forward in the public domain press@iv.ai.
Because AI can help expose truth inside messy data sets, it’s possible for algorithms to help us better understand bias we haven’t already isolated
... those accounts posted a surge of tweets calling for violence and civil war that garnered more than 112 million impressions
Of course, grooming your bot to serve customers requires front-end data but you can get started with a human-chatbot hybrid.
Machine learning isn’t naturally bias. Machine learning does the thing that you tell it to do
The AI understands both various prompts and also questions typed by the user, creating a more natural back-and-forth between human and bot.
... the AI is able to cut customer service resolution time from 16 minutes down to 2 minutes
It’s about asking the right questions, running the right algorithms based on the data, and using a hybrid approach to machine learning that offers new insights...