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Implementation of the Citizen Complaint Chatbot  

This program, in collaboration with GIZ, is designed to enhance the engagement between citizens and the institutions responsible for overseeing and ensuring accountability in anticorruption matters. Its primary objective is to develop and implement a chatbot on the websites of four Supreme Audit Institutions in Latin America, serving as a pilot initiative for the project with Guatemala, Uruguay, Panamá and the city of Buenos Aires.

 

Through Artificial Intelligence technologies, this system will offer automated and pertinent responses, assisting users in crafting effective complaints that align with the legal stipulations of their respective countries. While the chatbot is not intended for processing complaints directly, it aims to educate citizens about the appropriate methods, locations, and procedures for submitting a complaint to the Supreme Audit Institution. 

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Accesibility

Design the chatbot to be accessible on a variety of mobile devices, and
adjust the interface for low levels of digital literacy.
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Capacity Building

Implement training programs to sensitize and educate users on the use of the chatbot, reporting processes, and the work of SAIs.

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Continous Updating

Maintain and update the chatbot regularly to ensure its functionality and adapt to technological changes.

Anonymity & Safety

Ensure anonymity and security of users, with clear privacy and personal data protection policies. It is recommended that the chatbot does not ask for personal data​

Inclusion & Diversity

Design the chatbot taking into account the diversity of users, including gender, age, and socio-economic background.
gender, age, and socioeconomic background.

Expectation Management

Change the name of the chatbot to one that makes it clear that it is only for guidance and not a mechanism for filing a complaint.

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Independent Stewardship

Consider chatbot management by an independent third party to ensure impartiality and trust in the system.
impartiality and confidence in the system.

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