Categories: AI/ML News

Researchers develop new training technique that aims to make AI systems less socially biased

An Oregon State University doctoral student and researchers at Adobe have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.

Researchers develop new training technique that aims to make AI systems less socially biased

Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.

June 27, 2024

In "AI/ML News"

An early warning system for novel AI risks

AI researchers already use a range of evaluation benchmarks to identify unwanted behaviours in AI systems, such as AI systems making misleading statements, biased decisions, or repeating copyrighted content. Now, as the AI community builds and deploys increasingly powerful AI, we must expand the evaluation portfolio to include the possibility…

May 26, 2023

In "FAANG"

Ecology and artificial intelligence: Stronger together

Many of today's artificial intelligence systems loosely mimic the human brain. In a new paper, researchers suggest that another branch of biology -- ecology -- could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible. The paper argues for a synergy between AI and…

September 13, 2023

In "AI/ML News"

AI Generated Robotic Content

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AI Generated Robotic Content

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The Design Space of Tri-Modal Masked Diffusion Models

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Build self-improving document processing using Amazon Bedrock AgentCore

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The generative AI functions in BigQuery (AI.GENERATE, AI.IF, AI.CLASSIFY, AI.SCORE, and more) bring large language…

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Researchers develop new training technique that aims to make AI systems less socially biased

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