The Challenges of Ethical AI

by Alyssa Meritt | Feb 2, 2022 | Ethical AI

Business leaders are often hyper-focused on the exciting, action-packed numbers: clicks, conversions, sales, revenue, and all of the other KPIs and metrics that tangibly relate to income. So, it makes sense that developers and engineers are often pushed towards baking...

What is Data Labeling?

by Alyssa Meritt | Jan 23, 2022 | AI and Machine Learning

In machine learning, data labeling refers to the process of tagging, annotating, classifying, moderating, transcribing, or processing raw data. Labeling data marks up your data to show your target the answer you want your machine learning model to predict. For...

Minimizing the Risks of Outsourced Data Annotation

by Alyssa Meritt | Jan 3, 2022 | Annotation

As the world becomes more AI-driven, the confidentiality of machine learning data is paramount. Choosing a company to trust with your sensitive data can seem daunting – but it doesn’t have to be. Sigma.ai approaches data annotation with a security-first mindset,...

Data Security for Data Collection and Annotation

by Alyssa Meritt | Dec 19, 2021 | Privacy and Security

Data security is crucial in data collection and annotation. Data can contain sensitive information. Whether the data contains personal information or other confidential information types, it has to be protected. Even when data is non-confidential, it is a company...

Data Privacy and GDPR for Data Annotation

by Alyssa Meritt | Dec 1, 2021 | Privacy and Security

While the demand for data is growing, processing of personal data increasingly requires compliance with more stringent, multi-jurisdiction, and sometimes overlapping laws and regulations. Standardizing interpretation and enforcement are essential among the 27 EU...