Categories: AI/ML News

Human-centric photo dataset aims to help spot AI biases responsibly

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be used to evaluate human-centric computer vision tasks to identify and correct biases and stereotypes.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
7 months ago

Recent Posts

Anima – Sharing Some Prompts and Results

Been experimenting with Anima lately and ended up spending way too much time refining prompts.…

13 hours ago

Keychron K2 HE Concrete Edition Review: Rock-Solid Typing

Keychron's K2 HE Concrete Edition sounds like a cute gimmick, but as I discovered, there's…

14 hours ago

AI generates full battery electrolyte recipes, matching top lithium metal battery performance

Battery electrolytes aren't just one chemical, but a complex mixture of salts, solvents, and additives…

14 hours ago

Nava – A 6.3B audio-video model .

Page: https://ernie-research.github.io/NAVA/ Model: https://huggingface.co/ernie-research/NAVA Github: https://github.com/ernie-research/NAVA NAVA is a 6.3 B-parameter joint audio-video generator that…

2 days ago

Enterprise Business Software and the Mixed-Up Chameleon Problem

Editor’s Note: This blog post was written by Greg Little, Senior Counselor at Palantir, with…

2 days ago

High-Throughput Graph Abstraction at Netflix: Part I

By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv ShringiIntroductionNetflix has a diverse range of graph use cases, each…

2 days ago