Abstract: Techniques are provided for determining bias in an artificial intelligence/machine learning system. A plurality of users contributing to content of the source code base are identified. A plurality of user contributions are generated by determining each user contribution to the source code base by analyzing attributes of the content. The plurality of user contributions are mapped to respective profiles of the users. A determination is made as to whether categories of contribution defined for the source code base are met, based upon the mapping of the plurality of user contributions to respective profiles.

Abstract: A set of baseline treatment information is received. From the set of baseline treatment information, a set of incidental information is determined. Based on the set of baseline treatment information and the set of incidental information, a treatment mitigation area is generated. Based on the set of baseline treatment information, the set of incidental information, and the treatment mitigation area, a treatment mitigation model is created. An affected individual is identified, based on the treatment mitigation model. The affected individual is notified of one or more treatment mitigation recommendations.

Abstract: A computer-implemented method including: creating, by a computer device, a database record for a user in a computer-based immutable ledger; updating, by the computer device, the database record with a beginning amount of fuel when the user rents a vehicle; receiving, by the computer device, fuel purchase information from a fuel dispenser at a filling station; updating, by the computer device, the database record with the fuel purchase information; updating, by the computer device, the database record with an ending amount of fuel when the user returns the vehicle; determining, by the computer device, an amount of overpayment for fuel by the user; and updating, by the computer device, the database record with a credit based on the determined amount of overpayment.

Abstract: Communication between a plurality of users on one or more media platforms is analyzed. A model of the communication that reflects trends of the communication is generated. Using the model, it is determined that a current communication between a first and second user of the media platform is relatively less efficient than a potential communication between the first user and a third user of the media platform. In response to determining that the current communication is relatively less efficient than the potential communication, the current communication is directed to the third person.

Abstract: A method, computer system, and computer program product for collaborative document relations modeling are provided. The embodiment may include parsing, by a processor, a document corpus utilizing topic modeling and distance analysis techniques. The embodiment may also include deriving a collaborative document relational model to combine the results of the parsing into a matrix. The embodiment may further include grouping content of the parsed document corpus through document clustering utilizing the generated collaborative document relational model. The embodiment may also include displaying the grouped content as document clusters in a graphical user interface of a document management application.

Abstract: A method, computer system, and computer program product for using sensor data to modify navigation commands. The method may include predicting a user's navigational action and modifying a navigation command based on comparing the user's predicted navigational action to a recommended navigational action. The modifying the navigation command may include communicating a navigation command to a user based on the user's predicted navigational action deviating from a predetermined navigational action. The modifying the navigation command may include suppressing a queued navigation command to a user based on the user's predicted navigational action conforming to a predetermined navigational action. Predicting the user's navigational action may be based on information received from one or more sensors embedded in a vehicle.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for naming a digital file. The exemplary embodiments may include detecting a user saving an unnamed digital file to a digital folder, extracting one or more first features from data collected from one or more named digital files within the digital folder, generating one or more models correlating the extracted one or more first features with one or more names of the one or more named digital files, extracting one or more second features from the unnamed digital file, and determining a name for the unnamed digital file based on applying the one or more models to the extracted one or more second features.

Abstract: A computer-implemented method includes: generating, by a computer device, a baseline emotive state of a first user; generating, by the computer device, a baseline emotive state of a second user; determining, by the computer device, a current emotive state of the first user during a current video conference between the first user and the second user; determining, by the computer device, a current emotive state of the second user during the current video conference; and suggesting, by the computer device, a behavioral adjustment to the first user based on comparing the baseline emotive state of the first user, the current emotive state of the first user, the baseline emotive state of the second user, and the current emotive state of the second user.

Abstract: A method, computer system, and computer program product for using sensor data to control message delivery to a user. The method may include defining one or more criteria which may include a message delivery, sensor, bypass, or rerouting criterion. The message delivery criterion may include a rule for delivering messages. The method may include operations performed by a device communicating with a communications network. The device may have a computer and may receive a message from a user of a plurality of users and data from a sensor. The method may determine whether the sensor data meets the message delivery criterion and suppress a message notification based on the message delivery criterion. In some embodiments, the sensor is an image sensor and the method includes determining that content of an image captured by the image sensor includes an activity corresponding with a message delivery criterion.

Abstract: Modification of a user skill profile based upon social presence includes receiving a document indicating skill competencies of a user, and analyzing the document to determine a first model. The first model includes skill competencies indicated within the document. A social media profile associated with the user is received. The social media profile is analyzed to determine a second model. The second model includes current skills competencies of the user indicated by the social media profile. The first model and the second model is compared to determine missing skill competencies, the missing skill competencies including current skill competencies in the second model that are missing from the document. The document is modified to include the missing skill competencies.

Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Abstract: A method, system and computer program storage device to assist users interacting with message threads on social media. In an embodiment, the method comprises monitoring a message thread comprised of messages among a group of users on a social media platform for content that is inflammatory to one of the users; and when the inflammatory content has a defined condition, preventing the one of the users from posting messages to the message thread for a specified length of time. In an embodiment the defined condition is a defined level of the inflammatory content in the thread. In an embodiment, the defined condition is a defined increasing trend of the inflammatory content in the thread. In an embodiment, the monitoring the thread includes categorizing potentially inflammatory content into a plurality of categories, and specifying an inflammatory content level for each of the categories.

Abstract: A method, computer system, and computer program product for autonomous pending notification deletion are provided. The embodiment includes receiving a notification queue associated with a user on a user device. The embodiment also includes retrieving data related to multiple notifications from a user electronic calendar. The embodiment further includes determining a user current location. The embodiment also includes comparing each notification in the notification queue against the determined user current location. The embodiment further includes deriving a notification decision model based on the received notification queue, retrieved data, and the user current location. The embodiment also includes performing an action to manage the notification queue based on the derive notification decision model.

Abstract: Aspects of the present invention provide an approach for safeguarding a package for successful delivery. In an embodiment, a current location of a package, delivered but left outside its desired delivery location, is received from a smart label affixed to the package. The location and directional movements of the package are monitored. If the package is moved beyond a predefined distance threshold (e.g., 30 feet from a desired delivery residence), a threshold violation notification is sent to at least one party (e.g., customer, delivery service, police department, etc.) providing an alert of a potential theft of the package.

Abstract: A method, computer program product, and system includes a processor(s) obtaining a signal from an implanted device within a given vicinity of the one or more processors. The processor(s) identifies a device that when active, has a pre-defined probability of impacting regular functionality of the implanted device. The processor(s) determines coordinates of a perimeter around the device, where the pre-defined probability of the device impacting the regular functionality of the implanted device is realized inside the perimeter. The processor(s) generate a geofence boundary around the device. The processor(s) initiate an action to decrease the pre-defined probability of the device impacting the regular functionality of the implanted device.

Abstract: A method, computer program product, and system includes a processor(s) obtaining a signal from an implanted device within a given vicinity of the one or more processors. The processor(s) identifies a device that when active, has a pre-defined probability of impacting regular functionality of the implanted device. The processor(s) determines coordinates of a perimeter around the device, where the pre-defined probability of the device impacting the regular functionality of the implanted device is realized inside the perimeter. The processor(s) generate a geofence boundary around the device. The processor(s) initiate an action to decrease the pre-defined probability of the device impacting the regular functionality of the implanted device.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for generating messages in a real-time chat discourse. The method includes one or more processors identifying user profile data associated with a user engaged in a real-time chat discourse with a chatbot. The method further includes one or more processors analyzing the real-time chat discourse between the user and the chatbot. The method further includes one or more processors determining a baseline emotive level for the real-time chat discourse based on the user profile data and the analysis of the real-time chat discourse. The method further includes one or more processors determining real-time emotion information of messages of the user in the real-time chat discourse. The method further includes one or more processors determining whether the real-time emotion information deviates from the determined baseline emotive level.

Abstract: Techniques are provided for determining bias in an artificial intelligence/machine learning system. A plurality of users contributing to content of the source code base are identified. A plurality of user contributions are generated by determining each user contribution to the source code base by analyzing attributes of the content. The plurality of user contributions are mapped to respective profiles of the users. A determination is made as to whether categortties of contribution defined for the source code base are met, based upon the mapping of the plurality of user contributions to respective profiles.

Abstract: A method for adjusting an on-screen virtual keyboard on a computer device is provided. The method may include determining user hand and finger movement in relation to the on-screen virtual keyboard on the computer device. The method may further include determining a user chat discourse based on information associated with a chat interface on the computer device. The method may further include generating a programmatic model that combines and correlates the determined user hand and finger movement on the on-screen virtual keyboard with the determined user chat discourse. The method may further include dynamically adjusting an on-screen virtual keyboard layout associated with the on-screen virtual keyboard using the programmatic model, wherein dynamically adjusting the on-screen virtual keyboard layout comprises adjusting one or more keys on the on-screen virtual keyboard in response to information associated with a user and the chat interface.

Abstract: Regulating velocity of chat discourse can include determining, using computer hardware, a topic and emotive content from a plurality of chat messages of a group chat, determining, using the computer hardware, time deltas between different ones of the plurality of chat messages, determining, using the computer hardware, a tempo and a tempo adjustment for the group chat based on the topic, the emotive content, and the time deltas, and indicating, using the computer hardware, the tempo adjustment to a client device of a participant in the group chat.