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Govt Working On AI bots to sniff corruption in public sector

by Sadia Liaqat
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Govt Working On AI bots to sniff corruption in public sector

The Prime Minister’s task force on Austerity and restructuring Government is planning to launch ‘corruption sniffing Bots’ (a computer programme) for government authorities to keep any opportunity of their living past their known source.

As per official sources, in the last meeting, supervised by Dr. Ishrat Hussain, Burhan Rasool proposed the plan to utilize AI bots to sniff out anomalies in the scrambled data of employees and later distributed a concept paper on the bots as well.

The computer programme would initially advise the representative of any inconsistency, permitting him/her to take corrective action before any punitive activity.

Additionally decided to make it necessary for all the government employees to announce their assets and strengthen inner accountability by having an investigation for identifying government servants living beyond means.

The task force agreed on the formation of scrutiny committees by all departments with an objective of reconciling the assets declaration and tax returns of their employees. if any anomalies, the representatives would be given a chance to explain themselves before making any legitimate action against them.

The meeting asked some task force members to chalk out rules for the scrutiny committees. The corruption sniffing bots mark a way to leverage technology to augment the prevailing framework to prevent corruption.

How does the framework work?

First of all, there is only one way to use this technology to keep an eye on the government official is to create a central data bank of individual financial profiles of the officers and their dependents. This can be accomplished through the development and integration of different frameworks.

This system involves keeping the payroll data of all government officials accurate, comprehensive, and CNIC-based as opposed to the SAP-based “Project to Improve Financial Reporting & Auditing” (Pifra). Any additional source of household income other than the government salary should be explicitly mentioned. This will help the government to keep a record of all known sources of income of each and every government employee.

The second framework involves keeping up CNIC-based information of guardians and all dependents of all the government employees after verifying it from the National Database and Registration Authority (NADRA).

Different systems include maintaining up to a full service history of all the government officials. This will integrate all the data on take-home salary, posting or transfer orders, information about income tax returns and automatic annual comparing of assets and wealth statement from the federal board of revenue (FBR).

In addition, the program will monitor the data from the excise department to learn the responsibility of property, travel history, data of credit card and payment history.

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