Hand-written text extraction using Textract for the Public Engagement with Science Initiative

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

High-impact designation

Not reported

Impact justification

Not reported

Start date

2025 (year precision)

Withheld from public reporting

Not reported

Mission

Topic area

Not reported

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

OIA Team proposes using a Commercial Off the Shelf Amazon Web Services (AWS) product, Textract, as a character recognition tool to convert handwritten text into machine-encoded text for a postcard. Handwritten text will be an open format question for science and engineering, and some optional check boxes for demographic and other data questions.

Expected benefits

Not reported

System outputs

Not reported

Technology

AI classification

Not reported

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

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

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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