BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231103T103000
DTEND;TZID=America/New_York:20231103T114500
DTSTAMP:20260404T004221
CREATED:20231027T195503Z
LAST-MODIFIED:20231027T195503Z
UID:10038-1699007400-1699011900@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP on Robotics: Julie Shah\, Massachusetts Institute of Technology\, "Effective Human-Machine Partnerships in High Stakes Settings"
DESCRIPTION:This is a HYRBID event with a VIRTUAL SPEAKER. The GRASP on Robotics Seminar will be streamed for in-person attendees in Wu and Chen and virtual attendees may join the talk via Zoom. \nABSTRACT\nEvery team has top performers — people who excel at working in a team to find the right solutions in complex\, difficult situations. These top performers include nurses who run hospital floors\, emergency response teams\, air traffic controllers\, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms\, they cannot often tell us how they do it. Similarly\, even when a machine can do the job better than most of us\, it can’t explain how. The result is often an either/or choice between human and machine. In this talk I share the Situational Awareness Framework for Explainable AI (SAFE-AI)\, and discuss the ways in which traditional XAI methods can promote or undermine human situation awareness. I also share our lab’s latest research in employing the framework to effectively blend the unique decision-making strengths of humans and LLM- and RL-enabled machines.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-on-robotics-julie-shah-massachusetts-institute-of-technology-effective-human-machine-partnerships-in-high-stakes-settings/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR