Latest news with #AAE
Scroll.in
3 days ago
- General
- Scroll.in
RPSC AAE applications begins for 281 posts; here's apply link
The Rajasthan Public Service Commission (RPSC) has opened the online application window for recruitment to the posts of Assistant Agriculture Engineer - 2025 (Advt. 03/2025-26). Eligible candidates can register for the posts at or till August 26, 2025. The recruitment drive aims to fill 281 AAE posts. Applicants can check the eligibility criteria, age limit, pay scale, and other details available in the notification below: Assistant Agriculture Engineer - 2025 (Advt. 03/2025-26) notification. Application Fee Candidates from General/Unreserved categories will have to pay an examination fee of Rs 600 while SC/ST/OBC/PwBD and other reserved category candidates will pay Rs 400 at the time of application. Steps to register for AEE posts 2025
Scroll.in
18-07-2025
- General
- Scroll.in
RPSC recruitment 2025: Notification out for 12121 VO, AAE, and other posts, details here
The Rajasthan Public Service Commission (RPSC) has invited online applications from eligible candidates for the Sr. Teacher Comp. Exam - 2025 (Advt. No. 07/2025-26), School Lecturer (School Education) - 2025 (Advt. 06/2025-26), Veterinary Officer - 2025 (Advt. 04/2025-26), Assistant Agriculture Engineer - 2025 (Advt. 03/2025-26), and Sub Inspector/Platoon Commander - 2025 (Advt. 05/2025-26). Eligible candidates can apply for the posts at as per the notified schedule. The recruitment drive aims to fill 12121 VO, AAE, Se Teacher, and other posts. As per the notification, the registration window for various posts will open as follows: Assistant Agriculture Engineer - 2025 (Advt. 03/2025-26) — from July 28 to August 26, 2025. Veterinary Officer - 2025 (Advt. 04/2025-26) — from August 5 to September 3, 2025. Sub Inspector/Platoon Commander - 2025 (Advt. 05/2025-26) — August 10 to September 8, 2025. School Lecturer (School Education) - 2025 (Advt. 06/2025-26) — August 14 to September 12, 2025. Sr. Teacher Comp. Exam - 2025 (Advt. No. 07/2025-26) — August 19 to September 17, 2025. Applicants can check more details available in the notifications below: Application Fee Candidates from General/Unreserved categories will have to pay an examination fee of Rs 600 while SC/ST/OBC/PwBD and other reserved category candidates will pay Rs 400 at the time of application.
Miami Herald
10-07-2025
- Science
- Miami Herald
HBCU teams up with Google to help AI understand Black Voices
WASHINGTON, D.C. - A new partnership between Howard University and Google Research aims to help artificial intelligence (AI) systems better understand the richness and complexity of African American English (AAE). The effort could significantly improve the experience of Black users interacting with voice-enabled technology, and an HBCU is leading the way. The initiative, titled Project Elevate Black Voices, was first reported by The Dig, a multimedia platform created by Howard University to highlight campus news and stories. Howard and Google researchers have compiled a groundbreaking dataset of over 600 hours of recorded speech. The audio, gathered from speakers across 32 states, captures a range of African American English dialects. Though deeply rooted in American history and culture, these speech patterns are often underrepresented-or misunderstood-by current AI systems. The goal is clear: to create automatic speech recognition (ASR) systems that work equitably for everyone. "African American English has been at the forefront of United States culture since almost the beginning of the country," said Dr. Gloria Washington, co-principal investigator and Howard computer science professor. "Voice assistant technology should understand different dialects of all African American English to truly serve not just African Americans, but others who speak these unique dialects." Automatic speech recognition tools power many devices-from smartphones to smart speakers and in-car systems. However, many Black users report changing their natural voice or code-switching to be understood. This issue stems from a lack of training data reflecting how Black communities speak. According to researchers, many users have been conditioned to adjust their voices because speech technologies often fail to recognize AAE accurately. "There's a noticeable absence of natural AAE in existing speech datasets," Washington noted. "Even when it exists, it's hard to leverage due to code-switching and social pressures." Dr. Courtney Heldreth, co-principal investigator at Google Research, called the collaboration both important and personal. "It's our mission at Google to make technology that's useful and accessible," Heldreth said. "I truly believe that our work here will allow more users to express themselves authentically when using smart devices." Google will have access to the dataset for product improvement, but Howard University will retain full ownership and control of licensing. The HBCU will also serve as a steward of its ethical use, ensuring it benefits the communities represented. Dr. Lucretia Williams, who led community outreach for the project, emphasized the importance of trust and privacy. "I wanted to carefully curate the community activations to be a safe and trusted space," Williams said. "It's not just about data. It's about voice, identity, and accountability." As AI becomes more embedded in daily life, this collaboration between an HBCU and a tech giant offers a model for inclusive development. By centering the voices often left out of the conversation, Howard and Google are building systems that listen-and respond-more equitably. The post HBCU teams up with Google to help AI understand Black Voices appeared first on HBCU Gameday. Copyright HBCU Gameday 2012-2025
Black America Web
29-06-2025
- Science
- Black America Web
Howard University And Google Team Up To Advance AI Speech Recognition For African American English
Source: Liubomyr Vorona / Getty In a significant move toward advancing inclusivity in technology, Howard University and Google Research have unveiled a new dataset designed to enhance how automatic speech recognition (ASR) systems serve Black users. The collaboration, part of Project Elevate Black Voices , involved researchers traveling nationwide to document the unique dialects, accents, and speech patterns commonly found in Black communities, features often misinterpreted or ignored by current AI systems. The project spotlights African American English (AAE)—also known as African American Vernacular English, Black English, Ebonics, or simply 'Black talk'—a culturally rich and historically rooted linguistic form. Due to systemic bias in the development of AI tools, Black users have frequently encountered errors or been misunderstood by voice technologies, sometimes feeling pressured to alter their natural speech just to be recognized by these systems— a classic form of code switching. Researchers at Howard University and Google are on a mission to change this. 'African American English has been at the forefront of United States culture since almost the beginning of the country,' shared Gloria Washington, Ph.D., a Howard University researcher and the co-principal investigator of Project Elevate Black Voices , in a press release. 'Voice assistant technology should understand different dialects of all African American English to truly serve not just African Americans, but other persons who speak these unique dialects. It's about time that we provide the best experience for all users of these technologies.' To build this groundbreaking dataset, researchers gathered 600 hours of speech from participants representing various AAE dialects across 32 states. The goal was to confront hidden barriers that hinder the effectiveness of automatic speech recognition (ASR) systems for Black users. One of the key findings was that AAE is significantly underrepresented in existing speech datasets, not because the language isn't spoken, but because many Black users have been socially conditioned to alter their natural speech when interacting with voice technology. This phenomenon, often rooted in the need to be understood by systems that don't recognize AAE, leads to a lack of authentic representation. A 2023 Google blog post highlighted another challenge: privacy and security policies, while essential, create additional constraints on the collection of AAE-specific voice data. These self-imposed limits make it harder to amass the scale and authenticity of data required to close the gap in performance. Despite these challenges, progress is being made. Researchers are now using dialect classifiers to identify AAE within broader datasets, a promising first step toward building more inclusive technologies. Howard University will maintain ownership and licensing rights to the dataset, serving as its ethical guardian to ensure it's used responsibly and for the benefit of Black communities. Google, in turn, will be able to use the dataset to enhance its own ASR products, part of a broader effort to make AI tools more equitable across dialects, languages, and accents globally. SEE MORE: What Are Racial Microaggressions? Black Culture, White Face: How the Internet Helped Hijack Our Culture SEE ALSO Howard University And Google Team Up To Advance AI Speech Recognition For African American English was originally published on
