Matthew Jewkes on Routing Exceptions in AI Automation

AI Engineer19m 42s
Matthew Jewkes beside the words Routing AI Exceptions.
0 comments · 0 votesOpen discussionClose discussion
Sign in to join the discussion

    Matthew Jewkes argues that routine automation can preserve expert attentionWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort. when unusual, ambiguous or business-critical cases are routed appropriately. He distinguishes this approach from asking experts to respond to every agent notification.

    Matthew Jewkes describes an indexing project in biopharma data that used domain-expert examples, evaluation and separate routes for critical, ambiguous and unusual cases. He reports high accuracy on a selected critical path and attributes the result to extensive evaluation and refinementEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria..

    Matthew Jewkes discusses the cost of reaching high reliability and organizational changes needed to deploy automation. He suggests concentrating on scaled, specifiable tasks while retaining human judgment for exceptions and subjective decisionsHuman judgment in AI is the accountable interpretation and decision-making people contribute when setting goals, evaluating evidence, and managing consequences..

    Original YouTube thumbnailWatch on YouTube

    Video topic coverage

    • Agents & workflows90
    • Coding & tools0
    • Models & learning0
    • Infrastructure & compute34
    • Research & evaluation77
    • Safety & security46
    • Business & productivity100
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

    Share this video

    Matthew Jewkes beside the words Routing AI Exceptions. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 9 November 2026 and duration 19m 42s.

    Matthew Jewkes explains how routing routine work and exceptions can focus expert attention in AI automation.