Abstract: An approach is provided for training classifiers used in machine learning. A corpus of training data is received. One or more clusters of the training data is generated according to features of the training data. The one or more clusters are refined using user-specified rules. One or more classifiers are trained for use in machine learning based upon the refined one or more clusters.

Abstract: An autonomous agent operating method, system, and computer program product, including launching a first autonomous agent for a task with an initial update interval and adjusting the initial update interval for a second autonomous agent based on a second task for the second autonomous agent being similar to the task over time in relation to a trust level of a human user in a performance of the first autonomous agent.

Abstract: Techniques regarding mitigating bias in one or more machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can evaluate a machine learning model at a plurality of threshold settings to generate a sample set and can define a relationship between a fairness metric and a utility metric of the machine learning model based on the sample set.

Abstract: A method, a computer system, and a computer program product for generating explanations for different confidence levels of machine learning classifiers is provided. Embodiments of the present invention may include obtaining a dataset. Embodiments of the present invention may include training a first classifier using the dataset to generate probabilities. Embodiments of the present invention may include generating confidence scores using the first classifier. Embodiments of the present invention may include defining targeted confidence zones by transforming the generated probabilities into the confidence scores. Embodiments of the present invention may include training a second classifier to derive explanations. Embodiments of the present invention may include providing the explanations as an output.

Abstract: A method, a computer program product, and a computer system determine when to transfer a communication session from an agent to a bot. The method includes monitoring the communication session between the agent and a user. The method includes determining a continuing utility value indicating a predicted continuing cost to maintaining the communication session with the agent. The continuing utility value is indicative of a predicted continuing benefit to maintaining the communication with the agent. The method includes determining a transferring utility value indicating a predicted transferring cost to transferring the communication session from the agent to the bot. The transferring utility value is indicative of a predicted transferring benefit to transferring the communication session from the agent to the bot. The method includes, as a result of the predicted transferring benefit being greater than the predicted continuing benefit, transferring the communication session from the agent to the bot.

Abstract: A method of training a chatbot comprises obtaining a set of utterances. The method also comprises identifying a set of intents associated with utterances within the set of utterances. The method further comprises organizing intents within the set of intents hierarchically. This may result in a customized intent hierarchy. The method further comprises created a list of intents within the customized intent hierarchy.

Abstract: An autonomous agent operating method, system, and computer program product, including configuring an autonomous agent for a task, launching the autonomous agent with an initial update interval, the update interval determining a frequency of the autonomous agent reporting results to a human user for review, measuring the trust level of human user in a performance of the autonomous agent, and dynamically adjusting the update interval based on this measured trust.

Abstract: Techniques regarding mitigating bias in one or more machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can evaluate a machine learning model at a plurality of threshold settings to generate a sample set and can define a relationship between a fairness metric and a utility metric of the machine learning model based on the sample set.

Abstract: An approach is provided for training classifiers used in machine learning. A corpus of training data is received. One or more clusters of the training data is generated according to features of the training data. The one or more clusters are refined using user-specified rules. One or more classifiers are trained for use in machine learning based upon the refined one or more clusters.

Abstract: A method, a computer program product, and a computer system determine when to transfer a communication session from an agent to a bot. The method includes monitoring the communication session between the agent and a user. The method includes determining a continuing utility value indicating a predicted continuing cost to maintaining the communication session with the agent. The continuing utility value is indicative of a predicted continuing benefit to maintaining the communication with the agent. The method includes determining a transferring utility value indicating a predicted transferring cost to transferring the communication session from the agent to the bot. The transferring utility value is indicative of a predicted transferring benefit to transferring the communication session from the agent to the bot. The method includes, as a result of the predicted transferring benefit being greater than the predicted continuing benefit, transferring the communication session from the agent to the bot.

Abstract: A smart block control method, system, and computer program product, include capturing an intent of using one or more smart blocks and a domain of the smart blocks, determining an order of each of the smart blocks relative to each other, calculating an accuracy of a determined order of the smart blocks compared with the intent, and outputting an instruction via the one or more the smart blocks, in response to said calculating the accuracy of the determined order of the smart blocks compared with the predetermined order of the smart blocks.

Abstract: A meeting management method, system, and non-transitory computer readable medium, include a target determination circuit configured to determine a target of an agenda for a meeting, the target of the agenda including which users correspond to a topic, a behavior capturing circuit configured to capture behavior of the users during the meeting, a tracking and identifying circuit configured to track the behavior of the users during the meeting and identify a user of the users corresponding to the behavior, and a difference determination circuit configured to determine if a difference between the behavior of the users and the target of the agenda is greater than a threshold value.

Abstract: One or more alternatives are received. Each of the one or more alternatives has an associated weight. An advocate-agent corresponding to each of the one or more alternatives is generated in which each advocate-agent is configured to advocate for the corresponding alternative. An interaction characteristic is determined for each advocate-agent based on the associated weight and an engagement model. An engagement metric associated with each advocate-agent is received in which the engagement metric is indicative of an attention level of a user towards the particular alternative associated with the particular advocate-agent. The interaction characteristic a particular advocate-agent is adjusted based upon the engagement metric associated with the particular advocate-agent according to the engagement model.

Abstract: A smart block control method, system, and computer program product, include capturing an intent of using one or more smart blocks and a domain of the smart blocks, determining an order of each of the smart blocks relative to each other, calculating an accuracy of a determined order of the smart blocks compared with the intent, and outputting an instruction via the one or more the smart blocks, in response to said calculating the accuracy of the determined order of the smart blocks compared with the predetermined order of the smart blocks.

Abstract: A meeting management method, system, and non-transitory computer readable medium, include a target determination circuit configured to determine a target of an agenda for a meeting, the target of the agenda including which users correspond to a topic, a behavior capturing circuit configured to capture behavior of the users during the meeting, a tracking and identifying circuit configured to track the behavior of the users during the meeting and identify a user of the users corresponding to the behavior, and a difference determination circuit configured to determine if a difference between the behavior of the users and the target of the agenda is greater than a threshold value.

Abstract: A method and system for generating a summary of a document for display to a user on a display are provided. In one implementation, the method includes receiving a first document originally spanning several paragraphs in length, and generating a first summary of the first document, in which the first summary spanning a length less than the original several paragraphs of the first document. The method further includes dynamically displaying the first summary to the user on the display including showing words or short phrases of the first summary at a same location in the display serially one word or short phrase after another. Each word or short phrase is less than a complete sentence.

Abstract: A method and system for the dynamic presentation of the contents of a plurality of documents on a display is disclosed. The method and system comprises receiving a plurality of documents and providing a plurality of topically rich capsule overviews corresponding to the plurality of documents. Each capsule overview is a representation of the core content of the corresponding document. The method and system also includes displaying each of the plurality of capsule overviews and dynamically delivering document content encapsulated in the plurality of capsule overviews.

Abstract: A method and system for the dynamic presentation of the contents of a plurality of documents on a display is disclosed. The method and system comprises receiving a plurality of documents and providing a plurality of topically rich capsule overviews corresponding to the plurality of documents. The method and system also includes dynamically delivering document content encapsulated in the plurality of capsule overviews.

Abstract: A method and system for the dynamic presentation of the contents of a plurality of documents on a display is disclosed. The method and system comprises receiving a plurality of documents and providing a plurality of topically rich capsule overviews corresponding to the plurality of documents. The method and system also includes dynamically delivering document content encapsulated in the plurality of capsule overviews.

Abstract: A method for the dynamic presentation of the contents of a plurality of documents on a display is disclosed. The method comprises receiving a plurality of documents and providing a plurality of topically rich capsule overviews corresponding to the plurality of documents. The method also includes dynamically delivering document content encapsulated in the plurality of capsule overviews. In so doing, the method in accordance with the present invention can present thematic capsule overviews of the documents to users. The capsule overviews, delivered in a variety of dynamic presentation modes, allow the user to quickly get a sense of what a document is about, and decide whether they want to read it in more detail.