TRAINING TO NODAL OFFICERS (RTI) OF THE STATE PUBLIC AUTHORITIES REQUIRED FOR DISCLOSURES AT VARIOUS LEVELS ON IMPLEMENTATION OF TEMPLATES SHOULD BE BASED ON DETAILED PROPOSAL AND THE LOAD.

Artificial intelligence and its prediction is based on the deep learning of subject matter deliberation required to be processed under demand of locality and ensuring right inventory in the information of related requirements for which RTI from the concerned public information officer and the department is only the way to proceed further and follow RTI application under law code manual prefixed by the public imagination and opinion by the RTI activists and the volunteers working on the said steps into the limelight for clear information of the department and the public information officer responsible for the duty and responsibility under code for consideration and explanation under law code manual where in experience and skilled knowledge of both ways understanding is necessitated necessity of the department and the RTI activist must have also deep concern used for the required collection of information existing in the public domain failing which it may be wrong or not applicable to the public programme for which it is required from the department to have transparency and charter of public accountability in the subject matter reward based on the research and academic assignment given to the public information officer and also related to the first appellate authority. As such it is necessary to have good academic achievement and results in the appeals before the FAA and the SIC or CIC , as the case may be, where there should be no compromise with the Training to Nodal officers (RTI) of state public authorities and issued by the DOP&T guidelines dated 21-9-2013 , on suo motu disclosures, particularly on implementation of templates for disclosures at various levels.