Career Hackers Talent Solution - Security Portal
Welcome to Career Hackers's Security Portal. Our commitment to data privacy and security is embedded in every part of our business. Use this portal to learn about our security measures. For any security related questions that haven't been addressed on this page, please email us at info@careerhackers.io.
info@careerhackers.ioAI Safety and Fairness
| Control | Status |
|---|---|
| AI Model Bias Detection and Mitigation Our AI models undergo rigorous testing and continuous monitoring to identify and mitigate potential biases related to demographic attributes, ensuring fair and equitable assessment outcomes for all applicants and providing employers with objective insights. |  |
| Transparency in AI-Driven Assessments We provide clear explanations to employers on how our AI models contribute to assessment scores, and inform applicants about the use of AI in their evaluation, fostering trust and understanding in the assessment process. | |
| Robust Data Governance for AI Training Applicant data used for AI model training is anonymized or pseudonymized and handled under strict data governance protocols, safeguarding individual privacy while enabling model improvement that benefits both future applicants and employers seeking accurate assessments. | |
| Regular Audits of AI Systems for Fairness and Accuracy Independent and internal audits of our AI systems are conducted regularly to verify their fairness, accuracy, and compliance with ethical guidelines, offering assurance to employers and protecting the rights of applicants. | |
| Secure AI Development and Deployment Lifecycle We follow a secure development lifecycle for our AI models, including safeguards against adversarial attacks, data poisoning, and unauthorized modifications, to protect the integrity of the assessment process for both employers and applicants. | |
| Human Oversight and Review Capabilities While leveraging AI for efficiency, we provide mechanisms for human review and oversight of AI-driven assessment results, ensuring accountability and allowing employers to make informed final decisions, while offering applicants a channel for redress if appropriate. | |
| Ethical AI Principles and Governance Framework Our development and deployment of AI are guided by a comprehensive set of ethical principles and a dedicated governance framework, ensuring our technology serves the best interests of both applicants seeking fair opportunities and employers striving for effective and equitable talent acquisition. | |
| Continuous AI Model Performance and Fairness Monitoring We continuously monitor the performance and fairness metrics of our AI models in real-world scenarios to ensure they maintain accuracy and equity over time, adapting to new data patterns to provide reliable assessments for applicants and consistent value for employers. | |
