retrain.ai
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About
retrain.ai is a leading Talent Intelligence Platform designed for HR professionals, utilizing responsible AI to enhance talent acquisition and management. The platform emphasizes skills-based hiring and retention, employing generative AI to optimize candidate sourcing, screening, and data-driven insights, which ultimately contribute to smarter hiring practices. With a focus on upskilling, internal mobility, and personalized career pathing, retrain.ai aims to reduce hiring time and improve workforce retention significantly. It integrates seamlessly with existing HR systems to create a unified intelligence hub, ensuring organizations can adapt rapidly to changing workforce demands. The platform supports diversity, equity, and inclusion (DEI) initiatives through its Responsible AI framework, ensuring that hiring processes are fair and unbiased.
Platform
Features
• skills-based talent acquisition
• data-driven hiring insights
• generative ai for candidate sourcing
• comprehensive skills architecture
• seamless integration with existing hr systems
• responsible ai for fair hiring practices
• employee career pathing
FAQs
What is Artificial Intelligence (AI)?
In its simplest form, AI is a technology that’s able to recognize patterns in data. To do that, machine learning systems simulate human intelligence processes using AI applications like natural language processing.
What is Talent Intelligence?
Talent Intelligence is AI-driven technology that unifies, organizes and interprets internal and external data so HR leaders can make better workforce planning decisions.
How does retrain.ai compare to new technologies like ChatGPT?
ChatGPT is a consumer-focused generative AI tool that uses machine learning to index retrievable content and mimic writing styles. Retrain.ai provides enterprise-level solutions that include explainability, customization by industry and service level agreements (SLA).
What does Responsible AI mean?
Responsible AI ensures that automated processes aren't adversely impacting diversity in hiring and prioritizes candidates based on skills only, not demographics.
Are there regulations around the use of Responsible AI?
Yes, regulations are increasing, such as the new law in New York City requiring AI in hiring processes to undergo independent audits.
How does Responsible AI support DEI efforts?
Responsible AI mitigates bias by evaluating candidates solely based on skills, contributing to equal opportunity in hiring and promotion.
What does “Black box” or “White box” technology mean?
"White box" refers to fully explainable AI solutions where the process is transparent, while "black box" solutions lack such transparency, making them hard to assess for ethical standards.
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