GreatNorthCollective/greatnorth-us-federal-ai-inventory-2024 huggingface dataset:
2_use_case_name: Artificial Intelligence for observing Hand Hygiene
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/India
8_topic_area: Health & Medical
10_commercial_ai: None of the above.
11_purpose_benefits: USAID-supported Momentum Country and Global Leadership (MCGL) - project led by Jhpiego, focuses on innovative digital solutions to ensure compliance with WHO-recommended “Nine steps for correct handwashing techniques”. MCGL has developed SafeHands - an Artificial Intelligence tool to monitor and improve facility-level hand hygiene. SafeHands uses AI algorithms to closely watch the movement of palms and fingers in real-time, checks for the handwashing steps prescribed by WHO and measures the time duration for the rubbing action with the soap.
12_outputs: Video annotations
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 7/14/1905
2_use_case_name: Cough Against Covid
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/India
8_topic_area: Health & Medical
10_commercial_ai: None of the above.
11_purpose_benefits: USAID supported TRACE TB led by Wadhwani Institute of Artificial Intelligence (WIAI) developed an AI-based cough sound analysis technology to help identify at-risk Covid-19 patients before administering lab-based Reverse Transcription–Polymerase Chain Reaction (RT-PCR) tests, even if they are asymptomatic. The application uses machine learning algorithms/ deep learning
12_outputs: Sound classification
16_dev_stage: Retired
17_impact_type: Both
21_date_retired: 7/14/1905
2_use_case_name: Leveraging Artificial Intelligence for TB screening
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/India
8_topic_area: Health & Medical
10_commercial_ai: None of the above.
11_purpose_benefits: The largest gap in the TB care cascade is the diagnostic pathway, whereby patients are unable to access a TB test and receive proper diagnosis. Seeking initial care from an informal provider and consulting multiple health care providers are consistently associated with diagnostic delays. USAID-funded World Health Partners (WHP) Closing the Gaps in TB Care Cascade (CGC) project is partnering with Deeptek.ai to deploy the Genki product, an automated AI chest X-ray reading tool that can detect 20 abnormalities, enabling healthcare providers to reach a probable diagnosis much earlier. The AI-enabled screening solution aims to overcome and address TB care cascade gaps and achieve fundamental change to support the Government of India's (GoI's) vision of a 'TB-Free India'.
12_outputs: Image classification
16_dev_stage: Retired
17_impact_type: Both
21_date_retired: 7/15/1905
2_use_case_name: AI Pilot- Detection of data exfiltration
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Management
8_topic_area: Mission-Enabling
10_commercial_ai: None of the above.
11_purpose_benefits: The AI Pilot Project was developed to demonstrate the use of AI at USAID through the detection of security events and anomalies in network data. While existing cybersecurity measures catch some attacks, it is highly likely that many are sneaking by undetected, either disguised as benign traffic or simply unnoticed in the mass of data. The objective of the AI Pilot was to develop an in-house capability to detect previously undetected anomalous actors, trends or events in network data through the use of machine learning algorithms. For the proof of concept, the machine learning models were constructed through reverse engineering. This means the attacks were found and labeled in the data before the models were created, allowing the AI team to evaluate the performance of the machine learning models. The attacks were detected through calculating statistics specific to the type of attack and data protocols used by DHS and identifying outlier values.
12_outputs: ML model that successfully detected known penetration attacks conducted on specific protocols ICMP, HTTP, HTTPS. Discontinued before testing on second data set.
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 8/1/2021
2_use_case_name: Global Antimicrobial Resistance Surveillance System
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Global Health (GH)
8_topic_area: Science & Space
10_commercial_ai: None of the above.
11_purpose_benefits: WHO’s Global Antimicrobial Resistance Surveillance System (GLASS) was developed to support global surveillance and research in order to strengthen the evidence base on antimicrobial resistance (AMR) and help inform decision-making and drive national, regional, and global actions. USAID's Infectious Disease Detection and Surveillance (IDDS) project assisted Ministries of Health in Kenya, Cameroon and Liberia to use GLASS. This support included training for surveillance sites to enhance AMR data collection, analysis, interpretation, and reporting to GLASS. This also included regular supportive supervision.
12_outputs: Reports, visualizations
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 5/1/2024
2_use_case_name: GXAlert
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Global Health (GH)
8_topic_area: Health & Medical
10_commercial_ai: None of the above.
11_purpose_benefits: System One's GXAlert/Aspect software platform integrates with diagnostic devices to bring test results to clinicians, partners and program staff through a private and secure communications network and flexible reporting mechanisms. USAID's IDDS project supports the implementation of the GXAlert software in Zimbabwe, Tanzania and Vietnam.
12_outputs: Reports, test results
16_dev_stage: Retired
17_impact_type: Both
21_date_retired: 5/1/2024
2_use_case_name: DataToCare
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Global Health (GH)
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: DataToCare is a fully customizable suite of integrated applications (mobile, desktop, web) that connects national laboratory networks by collecting diagnostic and patient data at the facility level, displaying real-time information on a dashboard to facilitate decision-making at the central level, and notifying test results to medical teams and patients. USAID's IDDS project supports implementation of DataToCare in DR Congo and Cambodia.
12_outputs: Reports, visualizations
16_dev_stage: Retired
17_impact_type: Both
21_date_retired: 5/1/2024
2_use_case_name: CAD4TB: AI-Powered Tuberculosis Detection Software
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Global Health (GH)
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: Computer-Aided Detection for Tuberculosis. USAID's Infectious Disease Detection and Surveillance (IDDS) project is supporting the introduction of Delft's CAD4TB software in DR Congo, Kenya, Nigeria, Philippines, Uganda and Vietnam to improve the reading of chest x-rays for tuberculosis diagnosis.
12_outputs: Image classification
16_dev_stage: Retired
17_impact_type: Both
21_date_retired: 5/1/2024
2_use_case_name: DeepGreen Ukraine
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Ukraine
8_topic_area: Energy & the Environment
10_commercial_ai: None of the above.
11_purpose_benefits: Project aimed at the development of the Illegal Logging and Deforestation Alert System in Ukraine (𝛃-version) based on the results of  the DeepForest Project (created 𝛂-version of the system). It is an IT-based service that will allow its users to detect potential illegal and monitor planned forest logging. The system intends to analyze satellite data on forest cover changes and compare it with open source data published by public institutions (e.g. state land use and ownership maps, forest maps, logging tickets, etc.). The service will reflect near real-time deforestation changes indicating how many forests disappeared from the forest map of Ukraine, when and where it happened, and whether there are appropriate government permits (logging tickets) for felling. 
12_outputs: Annotated maps
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 3/1/2022
2_use_case_name: National Park information classification using AI, Garamba National Park, DRC
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Democratic Republic of the Congo
8_topic_area: Science & Space
10_commercial_ai: None of the above.
11_purpose_benefits: Integrated Python scripting to train the J2/intelligence office workflow on how information from park ranger patrols should be classified, separated, then shared from the confidential data.
12_outputs: Text classification
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 9/30/2024
2_use_case_name: Wildlife identification using computer vision (Mbaza), DRC
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Democratic Republic of the Congo
8_topic_area: Science & Space
10_commercial_ai: None of the above.
11_purpose_benefits: Mbaza was a machine learning program for identifying species in camera traps, which speeds up inventory of biodiversity surveys in a protected area of interest.
12_outputs: Image classification 
16_dev_stage: Retired
17_impact_type: Neither
21_date_retired: 5/1/2024
2_use_case_name: AI-enabled presentation design
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Democratic Republic of the Congo
8_topic_area: Diplomacy & Trade
10_commercial_ai: Creating visually appealing presentations using AI-driven design suggestions.
11_purpose_benefits: Staff time savings and improved quality of presentation materials
12_outputs: Powerpoint presentations
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
2_use_case_name: AI tools for learning, evaluation, and research
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Democracy, Human Rights, and Governance
8_topic_area: Diplomacy & Trade
10_commercial_ai: Summarizing the key points of a lengthy report using AI.
11_purpose_benefits: More effective research, evaluation, and reporting by a USAID implementing partner
12_outputs: Primarily text; eventually synthesized into reports for USAID activity managers
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
2_use_case_name: AI-enabled classification for Standardized Program Structure and Definitions
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for the Middle East
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: Time-saving automated categorization of information into pre-established definitions. U.S. foreign assistance is categorized using a specific system known as the Standardized Program Structure and Definitions (SPSD). This is important for many reasons. First, the SPSD is comprised of broadly agreed-upon definitions for foreign assistance programs, providing a common language to describe programs. Second, by utilizing a common language, information for various types of programs can be aggregated within a country, regionally or globally allowing for the comparison and analysis of budget and performance data.
12_outputs: Indicators are sorted into the Standardized Program Structure and Definitions
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
18_date_initiated: 1/31/2022
19_date_acq_dev_began: 5/20/2022
20_date_implemented: 7/15/2022
22_dev_method: Developed with contracting resources.
23_contract_piids: GS00F280GA/7200AA19M00017
24_hisp_support: No
27_public_info: No
29_contains_pii: No
30_saop_review: No
31_data_catalog: Yes
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
37_custom_code: Yes
38_code_access: No – agency does not have access to source code.
40_has_ato: No
43_infra_provisioned: No
45_compute_request: No
47_timely_resources: Other
47_question_type: No relevant resources
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: No documentation is available: No documentation detailing model performance metrics, model architecture, features and intended use of the models have been created or are currently accessible to other data science teams within the agency.
2_use_case_name: MENA Assessment Chatbot
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for the Middle East
8_topic_area: Diplomacy & Trade
10_commercial_ai: Summarizing the key points of a lengthy report using AI.
11_purpose_benefits: MENA Assessment Chatbot searches a defined repository of USAID-funded assessments to return information in response to questions
12_outputs: A chatbot responds to questions based on its repository of reports and assessments
16_dev_stage: Implementation and Assessment
17_impact_type: Neither
2_use_case_name: Generating reports for program monitoring and evaluation and literature reviews and syntheses to inform activity design and contribute to learning and knowledge management
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Inclusive Growth, Partnerships, and Innovation
8_topic_area: Diplomacy & Trade
10_commercial_ai: Summarizing the key points of a lengthy report using AI.
11_purpose_benefits: Reducing staff time costs when generating required reports for USAID and improving the comprehensiveness and efficiency of evaluation and literature reviews by contractors
12_outputs: Written reports -- some for internal purposes only and some for external sharing
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
2_use_case_name: AI tools for grant application application review
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Humanitarian Assistance
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: Streamlining the grantmaking process for humanitarian assistance
12_outputs: Three ML tools which serve the following purposes: 1) assist with review of emergency applications, 2) assist with review of Resilience and Food Security (RFSA) applications, 3) analyze trends in issues letters, which are a component of the RFSA application review process.
16_dev_stage: Initiated
17_impact_type: Neither
18_date_initiated: 9/29/2024
2_use_case_name: Natural Language Processing to detect gender-based violence in Kenya
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Kenya and East Africa
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: This tool will detect patterns of technology-facilitated gender based violence (TFGBV), provide early identification of potential threats, and facilitate automatic and anonymous reporting.  The grantee is planning to employ machine learning algorithms for pattern detection, natural language processing (NLP), computer vision, and sentiment analysis.
12_outputs: Reports, visualizations
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 9/1/2023
19_date_acq_dev_began: 4/1/2024
22_dev_method: Developed with contracting resources.
23_contract_piids: 7200AA22RFA00002
24_hisp_support: No
31_data_catalog: Yes
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
40_has_ato: No
43_infra_provisioned: No
45_compute_request: No
47_timely_resources: Other
47_question_type: No relevant resources
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: No documentation is available: No documentation detailing model performance metrics, model architecture, features and intended use of the models have been created or are currently accessible to other data science teams within the agency.
2_use_case_name: Identifying harmful social media content in Sinhala and Tamil
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Sri Lanka
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: The activity will develop AI tools that can identify hate speech online, and to design various counter-measures, ranging from streamlined mechanisms to report such content to crafting counter-narratives that can mitigate the negative effects on targeted communities
12_outputs: Reports on harmful content and content for counter narratives 
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 7/1/2024
19_date_acq_dev_began: 7/1/2024
22_dev_method: Developed with contracting resources.
24_hisp_support: No
31_data_catalog: Yes
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
40_has_ato: No
43_infra_provisioned: No
45_compute_request: No
47_timely_resources: Other
47_question_type: No relevant resources
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: No documentation is available: No documentation detailing model performance metrics, model architecture, features and intended use of the models have been created or are currently accessible to other data science teams within the agency.
2_use_case_name: Value4Her Connect Digital Platform
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Resilience, Environment, and Food Security
8_topic_area: Diplomacy & Trade
10_commercial_ai: None of the above.
11_purpose_benefits: The intended purpose of the AI is to provide personalized learning experiences, offering tutorials, courses, and resources tailored to the needs and interests of women in agriculture. The Value4Her Connect Digital Platform can connect women entrepreneurs, fostering collaboration and the exchange of ideas and best practices. AI will help women entrepreneurs access markets by providing insights into market trends, demand forecasts, and pricing strategies. The expected benefits of leveraging AI on the platform include empowering women with the skills and knowledge needed to innovate and lead in the agricultural sector.   This will improve efficiency and productivity and contribute to the economic growth of the women businesses and eventually to the agricultural sector.  AI will also be able to analyze vast amounts of data to provide actionable insights, helping women make informed decisions about their farming practices.
12_outputs: The outputs of the Value4Her Connect Digital Platform include:

* Personalized recommendations building on tailored educational content based on the user's interests and knowledge level.
* Insights into market demand and price trends to help women decide what to invest in
* Alerts and updates on the business performance identifying risks and opportunities.
* Networking and collaboration tools for discussion and exchange of ideas among young farmers.
* Connecting less experienced women with mentors who can provide guidance and support.
* Detailed reports on the profitability of various businesses and ventures.
* Calculations of the farm's carbon footprint and recommendations for reducing it.
16_dev_stage: Initiated
17_impact_type: Neither
18_date_initiated: 9/1/2024
22_dev_method: Developed with contracting resources.
23_contract_piids: AID-OAA-A-17-00029 (PIATA)
24_hisp_support: No
31_data_catalog: Yes
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
40_has_ato: No
43_infra_provisioned: No
45_compute_request: No
47_timely_resources: Other
47_question_type: No relevant resources
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: No documentation is available: No documentation detailing model performance metrics, model architecture, features and intended use of the models have been created or are currently accessible to other data science teams within the agency.
2_use_case_name: SERVIR Agriculture and Food Security: SERVIR is using machine learning techniques to interpret satellite data to improve crop area, crop type, crop condition, and yield estimates at the scale of 10s of meters, aggregated to country, district, province, or country.
3_agency: United States Agency for International Development
3_abr: USAID
4_bureau: USAID/Bureau for Resilience, Environment, and Food Security
8_topic_area: Science & Space
10_commercial_ai: None of the above.
11_purpose_benefits: Improve estimates of cropped areas, crop types, crop condition, and crop yield, to inform food security assessments.
12_outputs: geospatial information that can inform agricultural decision-making
16_dev_stage: Implementation and Assessment
17_impact_type: Neither
18_date_initiated: 7/14/1905
19_date_acq_dev_began: 7/15/1905
20_date_implemented: 7/16/1905
22_dev_method: Developed in-house.
24_hisp_support: No
27_public_info: Yes
28_iqa_compliance: documentation, peer review, and open source methods
29_contains_pii: No
30_saop_review: No
31_data_catalog: Yes
33_agency_data: Free-and-open satellite data from NASA and ESA
34_data_docs: Documentation has been partially completed: Some documentation exists (detailing the composition and any statistical bias or measurement skew for training and evaluation purposes), but documentation took place within this use case’s development.
37_custom_code: Yes
38_code_access: Yes – source code is publicly available.
39_code_link: https://github.com/SERVIR/servir-aces; https://github.com/SERVIR/SERVIR-Applied-Deep-Learning-Book
40_has_ato: No
42_dev_tools_wait: 6-12 months
43_infra_provisioned: No
45_compute_request: Yes
47_timely_resources: Yes
49_existing_reuse: Use of existing data platforms: This use case is being developed on existing enterprise data and analytics platforms within the agency rather than procuring additional platforms or SaaS to operate.
50_internal_review: Limited documentation for review: Some information regarding the model’s performance on specific benchmarks are available or have been shared with specific stakeholders within the agency.