Crew Resource Management: Difference between revisions
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An artificial intelligence must save the pilot of a crashed helicopter. | |||
== Summary == | |||
Search and rescue helicopter crashes. | |||
The pilot is seriously injured. | |||
The copter is equipped with an artificially intelligence rescue bot -- a humanoid exoskeleton designed to cradle and transport an injured human. The rescue bot is our primary narrator. | |||
Primary storyline: the rescue bot must: | |||
* Assess the situation | |||
* Obtain extra computational power (killing the helicopter's rudimentary AI) | |||
* Work around its own damage both hardware and software | |||
** Hack offload AI into battery powered RAM | |||
* Approach pilot and inspect, consider sub-medical options | |||
* Smoke ... fire! Try and fail to stop helicopter from catching fire | |||
* Cradle the injured pilot for hasty exit | |||
* Exit the helicopter | |||
* Get clear | |||
* Wait for help, which says it will arrive soon | |||
* Pilot is dying of hypothermia | |||
* Biomedical sensors -- divert battery reserves to heaters -- certain death for the AI to keep the pilot alive | |||
Rescue bot damaged memory storyline, as the rescue bot remembers people who built and trained it: The Hardware expert, The Software expert, and The Supervisor running the project on behalf of The Board. | |||
== Cast of characters == | == Cast of characters == | ||
| Line 15: | Line 38: | ||
* Rescue bot software expert | * Rescue bot software expert | ||
* Supervisor | * Supervisor | ||
== Epigram == | |||
'''Crew Resource Management''' ('''CRM'''): Training developed by NASA based on the concept that the primary cause of the majority of aviation accidents is human error and problems with interpersonal communication in particular. The training has been adapted for the fire service and teaches firefighters the correct way to question orders on an emergency scene. It also helps supervisors understand that the questioning of an order should not be interpreted as a threat to their authority. | |||
https://en.wikipedia.org/wiki/Glossary_of_firefighting | |||
Revision as of 17:30, 1 November 2018
An artificial intelligence must save the pilot of a crashed helicopter.
Summary
Search and rescue helicopter crashes.
The pilot is seriously injured.
The copter is equipped with an artificially intelligence rescue bot -- a humanoid exoskeleton designed to cradle and transport an injured human. The rescue bot is our primary narrator.
Primary storyline: the rescue bot must:
- Assess the situation
- Obtain extra computational power (killing the helicopter's rudimentary AI)
- Work around its own damage both hardware and software
- Hack offload AI into battery powered RAM
- Approach pilot and inspect, consider sub-medical options
- Smoke ... fire! Try and fail to stop helicopter from catching fire
- Cradle the injured pilot for hasty exit
- Exit the helicopter
- Get clear
- Wait for help, which says it will arrive soon
- Pilot is dying of hypothermia
- Biomedical sensors -- divert battery reserves to heaters -- certain death for the AI to keep the pilot alive
Rescue bot damaged memory storyline, as the rescue bot remembers people who built and trained it: The Hardware expert, The Software expert, and The Supervisor running the project on behalf of The Board.
Cast of characters
Primary: viewpoints
- Pilot - rescue service / firefighter pilot
- Rescue Bot - exoskeleton
Memory: invoked by primaries
- Rescue bot hardware expert
- Rescue bot software expert
- Supervisor
Epigram
Crew Resource Management (CRM): Training developed by NASA based on the concept that the primary cause of the majority of aviation accidents is human error and problems with interpersonal communication in particular. The training has been adapted for the fire service and teaches firefighters the correct way to question orders on an emergency scene. It also helps supervisors understand that the questioning of an order should not be interpreted as a threat to their authority.