Data annotation & labeling blog.

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Maxim Dupont

Maxim Dupont is the founder of LabelVisor, a scientist & software engineer. His hobby of writing tech reviews has become his new way of life. His belief is that together we can achieve the best world.

Racial bias in artificial intelligence

Racial bias in artificial intelligence restricts access to healthcare and financial services

From banks to police forces, artificial intelligence plays a vital role in modern life. In spite of this, an increasing body of evidence suggests that the AI used by these organizations is capable of entrenching systemic racism. According to a leading industry expert, this can negatively impact Black and ethnic

bias in large language models

There is a bias in large language models. Is logic able to save them?

Apparently, even language models perceive themselves to be biased. In response to the question in ChatGPT, the author replied, "Yes, language models have biases since they reflect the biases of society in which they were collected. Language models can perpetuate and amplify these biases, for example, if they are

Data Annotation

Understanding The Importance Of Data Annotation

Data annotation is a crucial step in machine learning and artificial intelligence (AI) development. It involves labeling and categorizing data sets to train algorithms to recognize patterns and make predictions. However, the process of data annotation can be tedious and time-consuming, and errors can lead to inaccurate results. That'

AI In Finance

Introduction To AI In Finance

Artificial intelligence (AI) has been making waves in the finance industry, transforming the way financial institutions operate and serve their customers. From fraud detection to investment management, AI is being used to streamline processes, reduce costs, and improve customer experiences. But what exactly is AI, and how is it being

data labeling

Ensuring label fairness and bias reduction in data labeling

Data labeling is a critical process in machine learning, where humans annotate data to create a training set for algorithms. However, the accuracy and fairness of data labeling can directly impact the performance and ethical considerations of machine learning models. In recent years, there has been a growing concern about

robots

Psychologists, physicists, and geometric engineers work together to make robots more intelligent

The self-supervised learning framework Columbia Engineers call DextAIRity learns to effectively perform a target task through a sequence of grasping or air-based blowing actions. Using visual feedback, the system uses a closed-loop formulation that continuously adjusts its blowing direction. We are surrounded by robots everywhere, from drones that film videos

image annotation

AI In Diagnosis: How AI Is Transforming Medical Diagnosis

Artificial intelligence (AI) is rapidly transforming the field of medicine, from diagnosis to drug discovery and personalized treatment plans. As AI continues to advance, its potential to revolutionize healthcare is becoming more evident. In this article, we will explore the top three use cases of AI in medicine that are