International Business Machines Corporation

Nicholas Tsang

Haoyang Li

Amitkumar Manoharrao Paradkar

Adriana Valido

Michael McCawley

Anupama Ray

Dong Zhang

Jill Burns

Dama Che Reffett

Christopher Fryett

Florian Wilhelm

Diane Chalmers

A system, program product, and method for processing challenges to potential artificial intelligence (AI) biases. The method includes injecting one or more first values associated with one or more respective variables into an AI platform, and generating, through the AI platform, one or more first outcomes. The method also includes collecting feedback with respect to the one or more outcomes, and parsing the feedback through a natural language understanding (NLU) application. The method further includes determining, subject to the parsing, one or more bias factors embedded within the AI platform.

Query-driven challenge of AI bias

According to one embodiment, a method, computer system, and computer program product for augmented reality/virtual reality (AR/VR) preference mapping is provided. The embodiment may include capturing a plurality of user preferences from a plurality of user feedback while a user interacts with elements of an AR/VR space. The embodiment may also include mapping one or more user preferences from the plurality of captured user preferences to one or more clusters. The embodiment may further include generating a user preference model of the elements based on the one or more mapped user preferences. The embodiment may also include displaying the user preference model in the AR/VR space.

Ranking a user's preference model in a virtual reality environment

A computer-implemented method, system and computer program product for generating rules to be utilized by a rule-based system. A parser analyzes a received string of words according to grammatical rules to generate a parse tree. The parse tree may then be reviewed by a user to determine if such a parse tree represents the appropriate syntactic structure of the string of words. If the user believes that the parse tree does not represent the appropriate syntactic structure of the string, then the user, who does not need to possess the expertise of natural language processing, may select the nodes and/or edges of the parse tree in a particular order that corresponds to the correct syntactic structure of the string of words. A grammatical rule is then created for parsing the string of words based on the user selection of nodes and/or edges of the parse tree in a particular order.

Self-learning annotations to generate rules to be utilized by rule-based system

A computer-implemented method, system and computer program product for dynamically providing a typing feedback indicator. Text entered in a body of a message that is to be sent to a recipient is detected. Prior to the user (author) sending the message to the recipient, the text of the message being composed by the user is analyzed to determine a sentiment and an emotion as well as to determine a topic of the content of the text. Based on such analyses, as well as possibly based on other criteria, a typing feedback indicator is generated to reflect an indication of the content of the message to be sent to the recipient. The typing feedback indicator may then be displayed on a computing device of the recipient while the user (author) is composing the message thereby providing the recipient context awareness of the message prior to receipt of such a message.

Dynamically generating a typing feedback indicator for recipient to provide context of message to be received by recipient

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Saratoga, CA, United States of America

Nicholas Tsang