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OpenAI’s Bubeck denies trying to cut Anthropic mathematician from credit31m ago 10 of the scariest AI villains in movie history32m ago Maven Robotics wants to steal your robot deployment deal34m ago Agent Security Is Not AI Governance: Why Conflating The Two Is A Risk Enterprises Can't Afford36m ago Positron Valued at $5 Billion in New Funding as Demand for AI Chips Surges43m ago 7 Steps to Become a Forward Deployed Engineer in 202651m ago Ramp eyes $60bn valuation three months after $44bn, Bloomberg reports1h ago Amazon partners with OpenAI to let users of Amazon's DSP run ads in ChatGPT in a pilot program limited to the US; ChatGPT Ads hit $1B in ARR last month1h ago D-Matrix Connects Raptor XPUs to NVIDIA AI Factories via NVLink Fusion2h ago Source: Meta AI researcher Andrew Tulloch, who came over from Thinking Machine Lab as one of the highest paid employees last year, is leaving the company (Reed Albergotti/Semafor)1h ago Mother Horrified When Instagram’s AI Scours Social Media for Invasive Information About Her Young Daughters1h ago Mach Industries, which makes unmanned military vehicles and weapons, raised $600M in an extension to its $300M Series C, doubling its valuation to $3.7B1h ago Salesforce Unveils Six-Capability Trusted AI Harness for Enterprises1h ago US closes $1.9bn loan to restart the Iowa nuclear plant powering Google2h ago

Robotics AI Research5 min reading time

System helps humans predict when self-driving cars will make mistakes

Covered by 2 sourcesPublished 8 days ago

MIT and Motional researchers developed CW-Net, a method that explains self-driving car decisions using understandable concepts. This helps humans predict vehicle mistakes and improves safety and trust. Tests show CW-Net aids both expert and nonexpert users in anticipating autonomous vehicle behavior.

Covered by 2 sources

#autonomous-vehicles #concept-wrapper-network #explainable-ai #human-machine-interaction #mit #motional

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