Samasource Launches AI Bias Detection Solution 

SAN FRANCISCO, Calif., Aug. 5, 2020 -- Samasource, providers of high-quality training data and model validation software and solutions to 25% of the Fortune 50, announces the launch of AI Bias Detection, a solution that helps to detect and combat systemic bias in artificial intelligence across various industries. The leading provider of high-quality training data, the solution is powered by Samasource’s classification technology and reinforced by its expert human-in-the loop team.

Between 2015 and 2019, global use of artificial intelligence grew by 270%, resulting in estimates that 85% of Americans are already using AI products daily. While these tools often bring innovation and improved efficiency, AI’s inherent bias threatens to diminish the technology’s progress.

Beyond generating inaccuracies, these biases influence critical decisions in hiring, safety and criminal justice. In a study conducted by MIT Media Lab researcher Joy Buolamwini, “gender classification systems sold by IBM, Microsoft, and Face++” were found to have “an error rate as much as 34.4 percentage points higher for darker-skinned females than lighter-skinned males.” Similarly, in Broward County, Florida, a law enforcement program used to predict the likelihood of crime was found to “falsely flag black defendants as future criminals (...) at almost twice the rate as white defendants.”

Understanding Bias for AI Teams

Understanding that societal change must be reflected in our ability to create a more just and accurate future of AI, Samasource is utilizing its expert team and technology to detect and correct these biases. Samasource’s AI Bias Detection solution offers advanced analytics and reporting capabilities, enabling AI teams to spot and correct bias before it’s implemented across a variety of use-cases spanning identification technology to self-driving vehicles.

“Our AI Bias Detection solution proves the need for a symbiotic relationship between technology and a human-in-the-loop team when it comes to AI projects,” says Wendy Gonzalez, President and Interim CEO of Samasource. “Companies have a responsibility to actively and continuously improve their products to avoid the dangers of bias and humans are at the center of the solution.”

Samasource trains and validates machine learning models by combining software with a directly managed workforce, making it effortless for individuals and companies to receive high-quality and accurate data at rapid rates.

How AI Bias Detection Works:

• Detection: Understanding that ethically sourced, high-quality data helps counter biases, Samasource’s advanced AI Bias analytics solution counts the instances of labeled data by class

• Reporting: The solution analyzes this data and generates an AI Bias analysis and report, providing details on dataset distribution and diversity

• Correction: With the detection report, AI teams can pinpoint problem areas in datasets, training and/or algorithms to correct and eliminate biases

Samasource remains committed to its social-good mission, leveraging its expert team and technology to address critical societal issues. Leading technology companies trust Samasource in industries including automotive, navigation, AR/VR, biotech, agriculture, manufacturing, and e-commerce.

Interested parties can learn more about the solution by visiting: https://www.samasource.com/contact-us.

About Samasource

Samasource is the trusted, high-quality training data and validation provider for 50% of the top 10 tech companies such as Walmart, Google, and Microsoft. For more than a decade, we have been experts in annotation and validation of image data, videos and sensors for machine learning algorithms used in the automotive, navigation, virtual and augmented reality, biotechnology, agriculture, manufacturing and e-commerce sectors. Our team is motivated by the mission of creating opportunities for low-income people through the digital economy and our social business model, which has helped more than 50,000 people lift themselves out of poverty. Visit samasource.com.

Source: Samasource