Gender Inequity in Artificial Intelligence Activity
Sector: Government • Location: United States of America
Source: Grants.gov
This Request for Information (RFI), is a preliminary call to solicit responses from individuals, groups, and organizations about sources of artificial intelligence (AI)-related gender inequity in the context of developing countries. To encourage wide participation and crowdsourcing in this effort, we are requesting all inputs to this RFI be made on the associated blog posted to USAID Medium. The o
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This Request for Information (RFI), is a preliminary call to solicit responses from individuals, groups, and organizations about sources of artificial intelligence (AI)-related gender inequity in the context of developing countries. To encourage wide participation and crowdsourcing in this effort, we are requesting all inputs to this RFI be made on the associated blog posted to USAID Medium. The objective of this RFI is to shine a light on the various contributors to gendered outcomes of AI tools and applications in developing countries. The interactive RFI process will allow respondents to share their experiences, impressions and suggested ideas related to this issue in a manner that fosters a shared understanding and generates opportunities for collaboration. Through this RFI, USAID seeks to collect community input to inform and enhance the design of a prospective activity that addresses how gender bias manifests in artificial intelligence as used in low and middle income countries. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
