Method and system for automatically detecting and resolving accidental emergency calls
An example method and apparatus for processing accidental emergency calls is provided herein. The example method includes monitoring an emergency call with an active learning artificial intelligence (AI) bot implemented by a processor. The example method further includes determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call. The example method additionally includes providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the call may be based on real-time and historical data. The example method also includes recommending, by the AI bot, a response to the emergency call based upon the score.
1. A method for processing accidental emergency calls comprising:
monitoring an emergency call with an active learning Artificial Intelligence (AI) bot implemented by a processor, the AI bot included in a public safety answering point;
determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call;
providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the score is based on real-time and historical data; and
recommending, by the AI bot, a response to the emergency call based upon the score.
2. The method of claim 1 , further comprising:
attempting at least one automated call back by the AI bot based on the score.
3. The method of claim 1 , further comprising:
providing a confidence level of the emergency call being accidental based on at least the score and historical data.
4. The method of claim 1 , further comprising:
providing an indication that the emergency call was or was not an accidental call, wherein the AI bot updates the historical data based on the indication in order to actively learn from each emergency call.
5. The method of claim 1 wherein real-time data comprises:
duration of the emergency call;
natural language content of emergency call conversation; and
caller location.
6. The method of claim 1 wherein real-time data comprises:
emergency call background noise.
7. The method of claim 1 wherein historical data comprises:
caller accidental call history;
crime history in the vicinity of caller's location; and
computer aided dispatch information.
8. A non-transitory processor readable medium containing a set of instructions thereon which when executed by a processor cause the processor to:
monitor an emergency call with an active learning Artificial Intelligence (AI) bot, the AI bot included in a public safety answering point;
determine, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call;
provide, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the score is based on real-time and historical data; and
recommend, by the AI bot, a response to the emergency call based upon the score.
9. The medium of claim 8 , further comprising instructions to:
attempt at least one automated call back by the AI bot based on the score.
10. The medium of claim 8 , further comprising instructions to:
provide a confidence level of the emergency call being accidental based on at least the score and historical data.
11. The medium of claim 8 , further comprising instructions to:
provide an indication that the emergency call was or was not an accidental call, wherein the AI bot updates the historical data based on the indication in order to actively learn from each emergency call.
12. The medium of claim 8 wherein real-time data comprises:
duration of the emergency call;
natural language content of emergency call conversation; and
caller location.
13. The medium of claim 8 wherein real-time data comprises:
emergency call background noise.
14. The medium of claim 8 wherein historical data comprises:
caller accidental call history;
crime history in the vicinity of caller's location; and
computer aided dispatch information.
15. A system for processing accidental emergency calls comprising:
a processor; and
a memory containing instructions which when executed by the processor cause the processor to:
monitor an emergency call with an active learning Artificial Intelligence (AI) bot the AI bot included in a public safety answering point;
determine, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call;
provide, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the score is based on real-time and historical data; and
recommend, by the AI bot, a response to the emergency call based upon the score.
16. The system of claim 15 , further comprising instructions to:
attempt at least one automated call back by the AI bot based on the score.
17. The system of claim 15 , further comprising instructions to:
provide a confidence level of the emergency call being accidental based on at least the score and historical data.
18. The system of claim 15 , further comprising instructions to:
provide an indication that the emergency call was or was not an accidental call, wherein the AI bot updates the historical data based on the indication in order to actively learn from each emergency call.
19. The system of claim 15 wherein real-time data comprises:
duration of the emergency call;
natural language content of emergency call conversation; and
caller location.
20. The system of claim 15 wherein historical data comprises:
caller accidental call history;
crime history in the vicinity of caller's location; and
computer aided dispatch information.