Intel corporation (20240305465). ARTIFICIAL INTELLIGENCE MODEL ACCURACY VALIDATION simplified abstract
Contents
ARTIFICIAL INTELLIGENCE MODEL ACCURACY VALIDATION
Organization Name
Inventor(s)
Anjo Lucas Vahldiek-oberwagner of Berlin (DE)
Marcin Andrzej Chrapek of Zurich (CH)
Scott Constable of Portland OR (US)
ARTIFICIAL INTELLIGENCE MODEL ACCURACY VALIDATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305465 titled 'ARTIFICIAL INTELLIGENCE MODEL ACCURACY VALIDATION
The patent application discloses systems, apparatus, methods, and articles of manufacture to validate the accuracy of artificial intelligence models. An example apparatus includes machine-readable instructions and at least one processor circuit programmed to compute accuracy statistics of an artificial intelligence model using software applied by a trusted third party and an input data set, determine a signed artifact based on the accuracy statistics, the software applied by the trusted third party, and the input data set, and communicate the signed artifact to a user of the artificial intelligence model.
- The apparatus computes accuracy statistics of an artificial intelligence model using software from a trusted third party.
- It determines a signed artifact based on the accuracy statistics, the software, and the input data set.
- The signed artifact is then communicated to the user of the artificial intelligence model.
- Potential Applications:**
This technology can be applied in various industries where the accuracy of artificial intelligence models is crucial, such as healthcare, finance, and autonomous vehicles.
- Problems Solved:**
This technology addresses the need for validating the accuracy of artificial intelligence models to ensure reliable and trustworthy results.
- Benefits:**
The technology provides a method to verify the accuracy of AI models, increasing trust and confidence in their predictions and decisions.
- Commercial Applications:**
Title: Enhanced AI Model Validation for Improved Decision Making This technology can be utilized by companies developing AI solutions to enhance the accuracy and reliability of their models, leading to better decision-making processes and outcomes.
- Prior Art:**
Researchers in the field of artificial intelligence and machine learning have been exploring methods to validate the accuracy of AI models, but this specific approach may offer a unique solution.
- Frequently Updated Research:**
Stay updated on advancements in AI model validation techniques and best practices to ensure the highest level of accuracy and reliability in artificial intelligence applications.
- Questions about AI Model Validation:**
1. How does this technology improve the trustworthiness of artificial intelligence models?
- This technology enhances trust by providing a method to validate the accuracy of AI models using trusted software and input data sets.
2. What are the potential implications of using signed artifacts in validating AI models?
- Signed artifacts can serve as a reliable indicator of the accuracy of AI models, increasing transparency and accountability in their use.
Original Abstract Submitted
systems, apparatus, methods, and articles of manufacture to validate the accuracy of artificial intelligence models are disclosed. an example apparatus includes machine-readable instructions; and at least one processor circuit to be programmed by the machine-readable instructions to: compute accuracy statistics of an artificial intelligence model using software applied by a trusted third party and an input data set; determine a signed artifact based on (1) the accuracy statistics indicative of the accuracy of the artificial intelligence model, (2) the software applied by the trusted third party, and (3) the input data set; and communicate the signed artifact to a user of the artificial intelligence model.
