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Image: IEEE Spectrum
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Published

Attempts to Keep Humans in the AI Loop May Actually Push Them Out (opens in a new tab)

A crucial safeguard against AI agents going rogue —keeping humans in the loop to review and approve their decisions—will fail unless designers and users change their current practices, a trio of leading AI ethics researchers argue. Though most autonomous agents have systems to k…

Read at IEEE Spectrum (opens in a new tab)
Image: MIT Technology Review
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Published

Connecting AI agents to enterprise knowledge (opens in a new tab)

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need thi…

Read at MIT Technology Review (opens in a new tab)
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Published

Bringing predictive analytics to the agentic AI era (opens in a new tab)

In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The front…

Read at MIT Technology Review (opens in a new tab)
Image: NVIDIA
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Published

From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps (opens in a new tab)

Breast cancer is the most commonly diagnosed cancer among American women — yet the gaps in care are wide. A majority of women over age 40 skip the recommended annual screening. Radiologists are reading more mammograms with fewer colleagues. And when a diagnosis arrives, the test…

Read at NVIDIA (opens in a new tab)
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