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The machine learning world is realizing the need for data collected from the widest possible demographic. Otherwise, AI learns to mimic the biases of a narrow group of people.Read more
To enjoy responsible AI products, we need to possess responsible models and processes. With that in mind, human oversight at every stage is crucial if we’re to make the human-machine collaboration work in our favor. While automation can be freeing, we can only build, operate, and maintain responsible AI models when key decisions are left in our hands.
July 25, 2022
With other components of AI equally available for all the players on the market, it is data that really makes your AI solution stand out from the competition. ... those who can set up regular processes of validating and updating their solutions based on real-life data get a more reliable solution.
June 27, 2022
If you’re short on time and require high accuracy, consider taking the custom adaptive route; otherwise, any custom solution can potentially fulfill your needs just as well. In terms of the overall cost, the generic route is the cheapest of all – followed by the custom adaptive route that bypasses most MLops expenses – and finally by all other custom solutions...
June 20, 2022
“AI For Good: Framework to Empower Digital Workers” project, in collaboration with Toloka, was named the most impactful on the IRCAI Global Top 100 - a list of the top 100 AI projects helping to solve problems related to the United Nations’ 17 sustainable development goals (SDGs).
Mar 18, 2022