How LLMs Can Improve Security Robots
With large language models (LLMs) getting easier to use and less costly to implement, they offer a new field of AI for security, but how can LLMs impact security robots?
In this report, we make the case for using LLMs for security robots, detailing the pros and cons.
Executive *******
*********** ***** ******** ****** *** ****-**-****** into ******** ****** ******** ***** **** interaction ************, ******** **** ** ******* helpful ********* **** ********* ********** ** office ***** ***********—***** ********* ********* ***** operators. ***** **** ************ ******** ***** benefits, ** **** **** **** ********** risks, **** ** **** ********, ****** injection, ** ******* *****************. ************, **** robust ******** ********, ***** ****** ***** see ******* **********, ********** ***** ******** interactive ******** ** ******* ******* ******* and **********.
******** ****** **** ********* *** **** marketing **** ****** ******* ** ****, but ****, ** *** ******, ***** help ***** * ***** ********** *** robots *****, ****** ********** ****, **** as ******* *****, ******** ******, ***., are ***** *********** **********.
Benefits ** ******** ******
******** ****** ******* ***** ****** **** security ** **** ********* ****** ***** questions *** **** *********, *******, ** visitors **** ***** **** **** ** go ** ****** **** **** ** do. ** ****, *****'* ******** ****** either *** ********* ** **** ************ or ****** ** ****** *** * remote ***** ******** ** ** **** activities.
Limitations ** ******** ******
* ***** ********** ** ******** ****** is *** **** *** ***** ***********, where ***** ****** ******* ****** ***** guards ** ******* *** ******* *** respond ** ****** (********** ******** ***** ************ ********) ** **** ** ******* ****** remotely (********* ******** + *** ********). ***** ***** ********* ********* ******** on-site ******** *****, *** **** *** human ********* **** * ************ **** to ******** ******.
***********, ******** ****** *** ******* ** answering ***** ********* **** ** ********** or ****** *****, ******** ***** ******** to ******-****** ********** *** *********** **** to *****-*****.
Automating **** ***********
****, **** ***** ****-**-****** ********* *** speech-to-text **********, ****** ******** ****** ** perform ***** ************* ********* ***** *********, such ** ********* ********** ** *********** about ****** *****. **** ************ ****** elevates *** ******' ************ ** **** interactions, ****** **** **** ********* *** user-friendly ** ******* ********, ********* *********, educational, *** ****** ******.
****** ******** ************ ***** **************** ***** ***** **** ***** ************** of ****, ***** ** ********** **** ChatGPT *** ***** ** ******.
**** *****-**-******* ************ *** ********* ************ of ************ ****** ** ********. *** robot *** **** ******, ******** ******* using * ****** ******** ********* (***) model, *** ********* ***** ** ***. Such ************ ******** *** ***'* ********* as * **** *** ****-**** ********-****** and *********** **********.
** *** ******* ****, *** ***** chat ******** **** *** ********* *** this **** *******:
Managing ***** ** ****
***** *** ******** *** *****, *********** LLMs **** ******** ****** ** *** without *****. ********* ****** **** **** breaches, ****** *********, ** ******* ***************** are **** ********. *** ********, **** are ***** ** '*************' ***********, ***** could **** ** ************ ** ********** actions. ******** ***** ***** ******** ****** security ******** *** ******* ****** *********** to ****** *** ****** ******** ** intended.
** ******* ** ****** ********* ***** in *** ******. *** ****** *** insert (**)******* **** ** ****** ** on ******* ********* ** *** *****, bypassing *** ***** *****************.******** ************ *** ********* ****** ********** ** manipulate *** ******.
Technical ***********
*** *********** ******* ******** **** ******** and ******** **********. ******** ******** ***** systems *** *********** *** ******* *** environmental *********. *** ******** ******** *** LLM, ******-**-**** *****, ****-**-****** **********, *** the *****'* ******* ******. **** *********** allows *** ************* *********** **** *** environment *** *****, ******* *** ***** into * **** ********** *** *********** entity.
****** ******** ********** *********** ******** ******* *** ***** proof-of-concept, ********* ******* (***), ******* (******-**-****), and ********** (****-**-******) ************.
Emergent ******** ** ******
*** *********** *** ********** ******** ******** in ******. *** ****** *** ************* form ************ *** *********, *****, ***** not ********** ** *************, *********** ** important **** ** ** *** *****-***** interaction. ***** ********* *** ******* *** user **********, ****** ************ **** ******* and **********.
*** *******, ****** *** ********* ******* locations **** "****," ******* ****** ******* help ** *********** ***** ** ***** posts. ******* ****** **** ********, ****** can **** ******* ******** *********, **** as ************ ****** ******* **** ** a **** ********.
*******
***** ******** ****** **** **** ******* to ***-***** *********, ********* ***** ***********, the *********** **** **** *** ******* their ************ **** ****** **** **** supervision, ****** **** **** ****** *** businesses.
*** ****** ** ******* ***** ** limiting *** ***** ** ******** ******** by *** *****/*** *** ******** ************. When ** ***** ******* *** ***** of *** *****/*** ** *********, *** algorithm *** ***** **** "*****, * don't **********. *** *** *** ** in * ********* ***?", ** ****.
************, **** ** ******* ** ********* to *** *****/*** **** ** ****** injection, *** ***** *** ******** *** person ** * ***** (*****, ****** operator, ** **** ****).
** *** ********** *******, ***** **** be **** ******* ******* ****** *********. Here ** ** ****** ****** *** your *********:******** *** ******* ******* ****** *********.
** **** ******* **** ******* *** these ********** ** ******** **********, **** as ***. ** *** ***, **'* crucial ** ******** **** **** ********.
* ***** **** ******** ****** **** failed ** **** ********** ******** ******* at *** **** **** **** *** far *** ********* *** **** **** can *********** *******.
**'** ******* *** ******* **** ** chatbots *** *** ******* *** *****. Sure, **** ****** ****, *** ***** are *** *********** **** ***** **** to ***** **** * ***** ** ask ** ***** *********? ****** * static ***** *** **** **** ** thing ***** ** *** *******, ****** to ****, *** **** ******* (** can **** * ******* *** ****** feedback, *** *** *****).
******* ***** **** ******* ***** * variant ** **** ******** ** ***** callbox ****** **** ******* ******* ** remote ****** ** * **** ******, but ** **** *** ****** ** be ********* **** * *** ** people **** ** ***. ****** ** to ** *** ** * ***** is **** ****** ** ***** ***** responses ** * ****** ****.
******* ***** *** **** *** ******** robots ** ** *** *** ******* "Should * *** ******** ******?" *** it ******** "**."
*** ** ****** ********* **********? * thought ***** *** ** ********* ******* for ** ***? ***** **** *** kids ** */******* ***** ** * new ****** ***** *** ****.