BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:The Oversight Fallacy: Why Humans-in-the-Loop Aren’t Enough 
 for AI Agents?
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260914T120519Z
UID:tag:localist.com\,2008:EventInstance_53295950492385
DTSTART:20260720T180000Z
DTEND:20260720T190000Z
DESCRIPTION:Join us for the second presentation in a three-part summer spea
 ker series\, "Critical AI Literacy for Information Work: Agentic AI"\n\nRe
 gistration required.\n\nSpeaker: Ranjit Singh\, director\, AI on the Groun
 d Program\, Data & Society\n\nTitle: The Oversight Fallacy: Why Humans-in-
 the-Loop Aren’t Enough for AI Agents?\n\nAI agents are moving generative
  AI from response to action. Unlike chatbots that primarily answer questio
 ns\, agents can take a high-level goal\, translate it into a plan\, and ac
 t across tools\, files\, browsers\, databases\, code\, and other digital e
 nvironments. This shift creates new challenges for universities\, librarie
 s\, and research settings\, where people are increasingly being asked to e
 valuate\, support\, and govern systems that can act at machine pace across
  institutional workflows. This talk examines why “human-in-the-loop” i
 s an insufficient answer to the risks posed by agentic AI. Drawing on fiel
 dwork on the use of AI agents in scientific workflows\, I introduce the 
 “goal-plan-execution gap” to describe the space between what users ask
  agents to do and how agents actually pursue those goals. I then walk thro
 ugh three oversight practices: post-hoc auditing\, real-time monitoring\, 
 and steering. Together\, these examples show why oversight cannot mean sim
 ply reviewing an output or approving the next step. Effective oversight de
 pends on whether users can understand what an agent is doing\, observe the
  right parts of its work\, meaningfully constrain its actions\, and interv
 ene before small mistakes become consequential failures. I conclude by arg
 uing that oversight should not be treated as an individual user burden. It
  has to be designed into agentic systems and organized through institution
 al practices\, including audit rights\, clear accountability structures\, 
 appropriate training\, and meaningful authority to pause\, redirect\, or c
 ontest agentic work.
LOCATION:
SUMMARY:The Oversight Fallacy: Why Humans-in-the-Loop Aren’t Enough for A
 I Agents?
URL;VALUE=URI:https://events.oregonstate.edu/event/the-oversight-fallacy-wh
 y-humans-in-the-loop-arent-enough-for-ai-agents
CATEGORIES:Lecture or Presentation
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