Amazon SageMaker Clarify Makes Machine Learning Models More Inclusive
Jana Pijak — February 16, 2021 — Tech
References: aws.amazon & techcrunch
Amazon SageMaker Clarify is an all-encompassing and fully managed service designed to help developers build more comprehensive and inclusive machine learning models. The service was recently announced at AWS re:Invent in December 2020 and is driven to "reduce bias in machine learning models" while also offering a more streamlined and cost-effective solution for developers.
“We are launching Amazon SageMaker Clarify. And what that does is it allows you to have insight into your data and models throughout your machine learning lifecycle,” said Bratin Saha, Amazon VP and general manager in a December 2020 interview with TechCrunch.
The service works to Identify statistical bias that can be found in data -- often the result of human biases coming from the scientists building machine learning models -- while also aiming to eliminate racial stereotypes within various algorithms.
Image Credit: Amazon, TechCruch
“We are launching Amazon SageMaker Clarify. And what that does is it allows you to have insight into your data and models throughout your machine learning lifecycle,” said Bratin Saha, Amazon VP and general manager in a December 2020 interview with TechCrunch.
The service works to Identify statistical bias that can be found in data -- often the result of human biases coming from the scientists building machine learning models -- while also aiming to eliminate racial stereotypes within various algorithms.
Image Credit: Amazon, TechCruch
Trend Themes
1. Inclusive Machine Learning Models - Amazon SageMaker Clarify is a trend that promotes more inclusive machine learning models by reducing bias and eliminating racial stereotypes.
2. AI Bias Reduction - With Amazon SageMaker Clarify, AI Bias Reduction is a trend that is driven to reduce statistical bias in data by identifying and removing human biases.
3. Streamlined Machine Learning - Streamlined Machine Learning is a trend fueled by Amazon SageMaker Clarify, which offers a more efficient and cost-effective solution for developing inclusive machine learning models.
Industry Implications
1. Tech - Tech is one of the industries that stands to gain from adopting Amazon SageMaker Clarify and other anti-bias AI services to develop more inclusive and efficient machine learning models.
2. Data Science - Data Science is an industry that has a disruptive innovation opportunity in anti-bias AI services like Amazon SageMaker Clarify, which can help to identify and reduce human biases in data and models.
3. AI Development - AI Development is an industry that can benefit from Amazon SageMaker Clarify and other anti-bias AI services that offer a streamlined and cost-effective way to create more inclusive machine learning models.
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