International Business Machines Corporation

Prashant Pandurang Mundhe

Manish Anand Bhide

Ravi Chandra Chamarthy

Madhavi Katari

Arunkumar Kalpathi Suryanarayanan

Swapna Somineni

A system and related method score a fairness of an outcome model. The method comprises receiving a set of original transaction records (OTRs), and selecting an OTR subset of the OTRs according to a subset selection criteria in order to reduce a number of OTRs to send to outcome model. For each OTR in the subset a perturbed transaction record (PTR) is created based on the OTR that includes changing at least one attribute in the PTR from the OTR, sending the OTR and the PTR to the outcome model, receiving an OTR outcome and a PTR outcome from the outcome model, and determining a record bias score for the OTR outcome and the PTR outcome respectively that indicates bias in the respective outcome. The OTR and the PTR bias score are stored in a bias determination system (BDS) database.

Batch scoring model fairness

Artificial intelligence (AI) model monitoring and ranking includes obtaining metric values indicative of performance of AI model deployments, the metric values including respective metric values measured across metrics, determining violation statuses of the metrics for each of the AI model deployments, the violation statuses indicating, for each AI model deployment, which of the metrics are violated by the AI model deployment as reflected by respective metric values for that AI model deployment, ranking the AI model deployments against each other according to a ranking model and based on the determined violation statuses for each of the AI model deployments, and providing a rank of at least some of the AI model deployments to a user.

Artificial intelligence model monitoring and ranking

Information associated with a user and a presentation made by the user is received. A presentation readiness of the user is dynamically detected. One or more of a presentation mode of a presentation software and a recording mode of the presentation software is initiated based on the received information and the dynamically detected presentation readiness.

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Hyderabad Telangana, India

Prashant Pandurang Mundhe