Event Comparison Notifications for Bias-Aware Dispatch Decisions
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Solution Overview
Problem
Surveillance and dispatch systems fail to differentiate between current events and past similar events, leading to increased susceptibility to cognitive and unconscious biases in decision-making, resulting in improper handling of events.
Innovation Solution
A system that compares current events with previous events handled by a user to identify significant differences, providing notifications to highlight these differences and reduce bias.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If surveillance systems provide information about events to officers for investigation, then officers can handle events, but officers become susceptible to cognitive and unconscious biases leading to improper handling
Solution Approach 1:
The system provides feedback to officers by comparing current events with historical events they have handled before. The system identifies and highlights similarities and differences between current and past events, creating a feedback loop that helps officers recognize potential biases in their decision-making process and adjust their responses accordingly.
Solution Approach 2:
The system acts as an intermediary between the event information and the officer's decision-making process. By introducing a comparative analysis layer that highlights similarities and differences between current and historical events, the system mediates the information processing to reduce cognitive and unconscious biases.
2Loss of information
If surveillance systems treat all events as unique, then officers receive complete information, but similar events are not differentiated leading to biased responses
Solution Approach 1:
The system applies local quality by differentiating events based on specific characteristics and attributes. Rather than treating all events uniformly, the system identifies and emphasizes locally relevant differences between similar events (such as time of day, duration, location specifics) that may influence the appropriate response.
Solution Approach 2:
The system segments event information into comparable categories and attributes, allowing for systematic comparison between current and historical events. By breaking down events into segmentable characteristics, the system can precisely identify similarities and differences that matter for proper handling.
Data Source
AI summary
One example electronic computing device includes an electronic processor configured to determine, based on information regarding a first event and information regarding a first user selected to respond to the first event, whether the first event is similar to a plurality of previous events to which the first user has responded. In response to determining that the first event is similar to the plurality of previous events, the electronic processor determines whether there are any significant differences between the first event and the plurality of previous events to which the first user has responded. In response to determining that there is a significant difference between the first event and the plurality of previous events to which the first user has responded, the electronic processor provides, to a communication device associated with the first user, a notification regarding the first event and an indication of the significant difference.