Dell products l.p. (20240256855). SYSTEM AND METHOD FOR MANAGING LATENT BIAS IN INFERENCE MODELS simplified abstract
Contents
SYSTEM AND METHOD FOR MANAGING LATENT BIAS IN INFERENCE MODELS
Organization Name
Inventor(s)
OFIR Ezrielev of Be'er Sheva (IL)
FATEMEH Azmandian of Raynham MA (US)
SYSTEM AND METHOD FOR MANAGING LATENT BIAS IN INFERENCE MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240256855 titled 'SYSTEM AND METHOD FOR MANAGING LATENT BIAS IN INFERENCE MODELS
Simplified Explanation: The patent application discusses methods, systems, and devices for providing computer-implemented services while managing inference models to reduce bias in the inferences provided.
Key Features and Innovation:
- Managing inference models using modified split training to reduce bias in computer-implemented services.
- Reducing the likelihood of inference models providing inferences indicative of bias features.
- Ensuring that inferences provided are less likely to include latent bias, thereby reducing bias in the computer-implemented services.
Potential Applications: This technology can be applied in various industries such as finance, healthcare, marketing, and more where bias reduction in computer-implemented services is crucial.
Problems Solved: This technology addresses the issue of bias in computer-implemented services by managing inference models to provide more accurate and unbiased inferences.
Benefits:
- Reduced bias in computer-implemented services.
- More accurate and reliable inferences.
- Improved fairness and equity in decision-making processes.
Commercial Applications: The technology can be utilized in AI-driven platforms, data processing systems, and various online services to ensure fair and unbiased outcomes, which can enhance customer trust and satisfaction.
Questions about Bias Reduction in Computer-Implemented Services: 1. How does managing inference models using modified split training help reduce bias in computer-implemented services? 2. What are the potential implications of reducing bias in computer-implemented services across different industries?
Frequently Updated Research: Stay updated on research related to bias reduction in computer-implemented services, machine learning algorithms, and data processing systems to enhance the effectiveness of this technology.
Original Abstract Submitted
methods, systems, and devices for providing computer-implemented services are disclosed. to provide the computer-implemented services, inference models used by data processing systems may be managed to reduce the likelihood of the inference models provide inferences indicative of bias features. the inference models may be managed using modified split training. the inferences provided by the inference models may be less likely to include latent bias thereby reducing bias in computer-implemented services provided using the inferences.
