Google AI tool will no longer use gendered labels like ‘woman’ or ‘man’ in photos of people

Google AI tool will no longer use gendered labels like ‘woman’ or ‘man’ in photos of people

  • February 24, 2020
Table of Contents

Google AI tool will no longer use gendered labels like ‘woman’ or ‘man’ in photos of people

Google’s AI tool for developers won’t add gender labels to images anymore, saying a person’s gender can’t be determined just by appearance. The company emailed developers about the change to its Cloud Vision API tool, which developers use to analyze images and identify faces, landmarks, explicit content, and other recognizable features.

Source: theverge.com

Tags :
Share :
comments powered by Disqus

Related Posts

Introducing the AI Index 2019 Report

Introducing the AI Index 2019 Report

The AI Index 2019 Report takes an interdisciplinary approach by design, analyzing and distilling patterns about AI’s broad global impact on everything from national economies to job growth, research and public perception. We’re excited to release the AI Index 2019 Report, one of the most comprehensive studies about AI to date. Because AI touches so many aspects of society, the Index takes an interdisciplinary approach by design, analyzing and distilling patterns about AI’s broad global impact on everything from national economies to job growth, research and public perception.

Read More
Google Research Use of Concept Vectors for Image Search

Google Research Use of Concept Vectors for Image Search

Google recently released research about creating a tool for searching Similar Medical Images Like Yours (SMILY). The research uses embeddings for image-based search and allows users to influence the search through the interactive refinement of concepts.

Read More
Building a document understanding pipeline with Google Cloud

Building a document understanding pipeline with Google Cloud

Document understanding is the practice of using AI and machine learning to extract data and insights from text and paper sources such as emails, PDFs, scanned documents, and more. In the past, capturing this unstructured or “dark data” has been an expensive, time-consuming, and error-prone process requiring manual data entry. Today, AI and machine learning have made great advances towards automating this process, enabling businesses to derive insights from and take advantage of this data that had been previously untapped.

Read More