ChIRP - A ChatGPT Model for the NIH Intramural Community

Overview

Development stage

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

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2025-02 (month precision)Source: Feb-25

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Science

Operational functions

Chatbot or virtual assistant, Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

We hoped to load text into the chatbot to assist in summarization and identification of prominent themes.  ChIRP was moderately helpful for our use case, primarily because we used it at a stage in development where documents could not be directly uploaded into the chatbot

Expected benefits

Chatbots with the ability to scan, summarize, and compare document text could likely assist researchers working with large qualitative datasets.

System outputs

We hoped to use ChIRP to thematically analyze text.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

ChIRP

Custom-developed code

Yes

Public source code

Not available

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

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

No

Privacy Impact Assessment

unknown

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

unknown

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