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Why you need human-in-the-loop in AI workflows
Zapier reports that integrating humans into AI workflows (HITL) ensures oversight, addresses ambiguity, and enhances decision ...
The organizations separating signal from noise are architecting a staged journey from decision support to supervised autonomy ...
Human-in-the-loop (HITL) safeguards that AI agents rely on can be subverted, allowing attackers to weaponize them to run ...
The Citizen Developer. The Citizen Developer Becomes the Human-in-the-Loop. By Howard M. Cohen; December 22, 2025; This column launched as "The Citizen Developer" on October 17, 2 ...
Artificial intelligence has reached every corner of finance. From forecasting cash flows to detecting fraud, AI now does what once took teams of analysts weeks to complete. Yet, as recent incidents ...
There’s been an explosion in recent years of natural language processing (NLP) datasets aimed at testing various AI capabilities. Many of these datasets have accompanying leaderboards, which provide a ...
Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...
AI can inadvertently introduce vulnerabilities by hallucinating libraries or repeating insecure patterns found in its ...
Tina Huang is the Founder and CTO of Transposit, a platform that bridges the gap between dev and ops with automated human-machine workflows. Companies across industries are racing to automate ...
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