Bias
GPT-3 for All: GPT-3 NLP Model is Available for Select Azure Users
Microsoft is making GPT-3 available to selected customers through its Azure cloud service.
Bias
New Models Inherit Old Flaws: Foundation models can pass along biases to their fine-tuned progeny.
Is AI becoming inbred? The fear: The best models increasingly are fine-tuned versions of a small number of so-called foundation models that were pretrained on immense quantities of data scraped from the web.
Bias
New Models Inherit Old Flaws: Foundation models can pass along biases to their fine-tuned progeny.
Is AI becoming inbred? The fear: The best models increasingly are fine-tuned versions of a small number of so-called foundation models that were pretrained on immense quantities of data scraped from the web.
Bias
White House Supports Limits on AI: U.S. Rules Protect Citizens from AI-Powered Surveillance and Discrimination
As governments worldwide mull their AI strategies and policies, the Biden administration called for a “bill of rights” to mitigate adverse consequences.What’s new: Top advisors to the U.S. president announced a plan to issue rules
Bias
White House Supports Limits on AI: U.S. Rules Protect Citizens from AI-Powered Surveillance and Discrimination
As governments worldwide mull their AI strategies and policies, the Biden administration called for a “bill of rights” to mitigate adverse consequences.What’s new: Top advisors to the U.S. president announced a plan to issue rules
Bias
Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data
The emerging generation of trillion-parameter models needs datasets of billions of examples, but the most readily available source of examples on that scale — the web — is polluted with bias and antisocial expressions. A new study examines the issue.
Bias
Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data
The emerging generation of trillion-parameter models needs datasets of billions of examples, but the most readily available source of examples on that scale — the web — is polluted with bias and antisocial expressions. A new study examines the issue.
Bias
UN Calls Out AI: UN Report Highlights AI-Related Risks for Privacy, Bias
Human rights officials called for limits on some uses of AI.What’s new: Michelle Bachelet, the UN High Commissioner for Human Rights, appealed to the organization’s member states to suspend certain
Bias
UN Calls Out AI: UN Report Highlights AI-Related Risks for Privacy, Bias
Human rights officials called for limits on some uses of AI.What’s new: Michelle Bachelet, the UN High Commissioner for Human Rights, appealed to the organization’s member states to suspend certain
Bias
Weak Foundations Make Weak Models: Foundation AI Models Pass Flaws to Fine-Tuned Variants
A new study examines a major strain of recent research: huge models pretrained on immense quantities of uncurated, unlabeled data and then fine-tuned on a smaller, curated corpus.
Bias
Weak Foundations Make Weak Models: Foundation AI Models Pass Flaws to Fine-Tuned Variants
A new study examines a major strain of recent research: huge models pretrained on immense quantities of uncurated, unlabeled data and then fine-tuned on a smaller, curated corpus.
Bias
AI Sees Race in X-Rays
Researchers from Emory University, MIT, Purdue University, and other institutions found that deep learning systems trained to interpret x-rays and CT scans also were able to identify their subjects as Asian, Black, or White.
Bias
AI Sees Race in X-Rays
Researchers from Emory University, MIT, Purdue University, and other institutions found that deep learning systems trained to interpret x-rays and CT scans also were able to identify their subjects as Asian, Black, or White.
Bias
Smaller Models, Bigger Biases: Compressed face recognition models have stronger bias.
Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.
Bias
Smaller Models, Bigger Biases: Compressed face recognition models have stronger bias.
Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.
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