17931479. ARTIFICIAL INTELLIGENCE TRUSTWORTHINESS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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ARTIFICIAL INTELLIGENCE TRUSTWORTHINESS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Aaron K. Baughman of Cary NC (US)

Jeremy R. Fox of Georgetown TX (US)

Zachary A. Silverstein of Georgetown TX (US)

Sarbajit K. Rakshit of Kolkata (IN)

ARTIFICIAL INTELLIGENCE TRUSTWORTHINESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17931479 titled 'ARTIFICIAL INTELLIGENCE TRUSTWORTHINESS

Simplified Explanation

The patent application describes techniques for ensuring a trustworthy artificial intelligence (AI) service by evaluating and improving the user experience (UX) component.

  • Identifying a UX component in the front-end containing information that conveys a trustworthy AI factor.
  • Evaluating the information in the UX component to determine a trust score indicating the degree of trustworthiness conveyed.
  • Determining if the information in the UX component meets a threshold of disclosure for the trustworthy AI factor.
  • Obtaining an alternative UX component with additional information that meets the disclosure threshold.
  • Providing the alternative UX component for incorporation into the application's front-end UX.

Potential Applications

The technology can be applied in various AI services, such as virtual assistants, chatbots, and recommendation systems, to enhance trustworthiness.

Problems Solved

Ensures that users can trust the AI service by providing transparent and reliable information through the UX component.

Benefits

Improves user trust in AI services, enhances user experience, and increases overall satisfaction with the technology.

Potential Commercial Applications

Enhancing Trust in AI Services: Improving User Experience for Trustworthy AI.


Original Abstract Submitted

Described are techniques for a trustworthy artificial intelligence (AI) service. The techniques include identifying a user experience (UX) component in a front-end UX containing information that conveys a trustworthy AI factor. The techniques further include evaluating the information contained in the UX component to determine a trust score for the UX component that indicates a degree to which the information contained in the UX component conveys the trustworthy AI factor. The techniques further include determining, based on the trust score for the UX component, that the information contained in the UX component does not meet a threshold of disclosure of the trustworthy AI factor. The techniques further include obtaining an alternative UX component containing additional information that meets the threshold of disclosure of the trustworthy AI factor and providing the alternative UX component for incorporation into the front-end UX of the application.

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