US 12,443,739 B2
Systems and methods for responsible AI
Akbar Mohammed, Mumbai (IN); Sagar Shah, Jersey City, NJ (US); and Sray Agarwal, London (GB)
Assigned to Fractal Analytics Private Limited, Mumbai (IN)
Filed by Fractal Analytics Private Limited, Mumbai (IN)
Filed on Jan. 27, 2025, as Appl. No. 19/038,434.
Application 19/038,434 is a continuation of application No. 18/314,771, filed on May 9, 2023.
Claims priority of application No. 202221072640 (IN), filed on Dec. 15, 2022.
Prior Publication US 2025/0173453 A1, May 29, 2025
Int. Cl. G06F 21/62 (2013.01); G06F 8/60 (2018.01)
CPC G06F 21/6218 (2013.01) [G06F 8/60 (2013.01)] 11 Claims
OG exemplary drawing
 
1. An end-to-end platform for responsible artificial intelligence (AI) implemented on one or more hardware computer processors and one or more storage devices, the platform comprising:
an input database capable of receiving data;
a data bias system wherein the data bias system is configured to execute code in order to cause the system to:
conduct exploratory data analysis (EDA);
pre-process the data to identify missing or incomplete records, outliers and anomalies; and
perform feature engineering and selection on the data;
a model development system wherein the model development system is configured to execute code in order to cause the system to:
develop a model through explainable artificial intelligence (XAI) and privacy;
evaluate the model for bias and privacy; and
evaluate prediction bias of the model; and
a unified model monitoring platform (UMMP) wherein the UMMP is configured to execute code in order to cause the UMMP to:
monitor the model to evaluate bias, XAI, and drifts, the UMMP further comprising:
a model deployment layer;
a gateway layer that provides access to the data through an application programming interface (API) or an event stream;
a risk analysis index (RAI) services layer including a plurality of independent microservices;
a RAI APIs layer that provides access to the RAI services layer to extract RAI details for the model, generate a model benchmark report, subscribe to violation notifications, and get the model in production; and
a RAI user interface layer that provides a browser-based interface and includes at least an RAI dashboard, report generation, monitoring, and administration.