For artificial intelligence (AI) to function as envisaged, it needs to be fueled by high-quality data. However, accessing this high-quality data is one of the biggest barriers to the adoption of AI. Crowdsourcing was long ago identified as a solution to this problem but ensuring the quality of the data collected is extremely difficult.
// How do you ensure contributors are really native speakers of a specific language?
// How do you ensure contributors are completing the tasks properly?
// How do you test the quality of data collected?
// How do you find the type of contributors you need for a specific data collection?
In this white paper we will examine the challenges of crowdsourcing training data for AI and how to effectively overcome them. Download it here!