emPOWER AI

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2019-12 (month precision)Source: Dec-19

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Health and Medical

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Public health authorities, first responders and others across the emergency management spectrum indicated that they had to be able to more rapidly access HHS emPOWER Map publicly available data, particularly in unstable internet conditions, during disasters. emPOWER AI, an Amazon Alexa Skill, was created to allow anyone with a smartphone, particularly emergency and first responders, to be able to request the data from the HHS emPOWER Map and receive it within seconds from the field to headquarters.

Expected benefits

Public health authorities, first responders and others across the emergency management spectrum indicated that they had to be able to more rapidly access HHS emPOWER Map publicly available data, particularly in unstable internet conditions, during disasters. emPOWER AI, an Amazon Alexa Skill, was created to allow anyone with a smartphone, particularly emergency and first responders, to be able to request the data from the HHS emPOWER Map and receive it within seconds from the field to headquarters. For example, a local first responder in the field at a location of a disaster could rapidly identify the total number of Medicare beneficiaries that live independently in a given zip code, and may be adversely impacted by a rapidly progressing flood or wildfire emergency and use this information to inform decision-making on evacuation assistance resources and teams.

System outputs

emPOWER AI gives the user publicly available data from the HHS emPOWER Map on the number of electricity-dependent Medicare beneficiaries at the national, state, territory, county, and ZIP Code levels.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

HHS emPOWER Map (emPOWER)

Custom-developed code

No

Public source code

No

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

Communications Training & Analysis Corporation (CTAC)

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Publicly available data, PIA is under the HHS emPOWER Map ATO.

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

Publicly available de-identified data on the HHS emPOWER Map

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported