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Corruption and AI - Coggle Diagram
Corruption and AI
Brazil
Brazil has made efforts in implementing anti-corruption reforms since the mid-1980s, driven by corruption scandals and pressure. These reforms include:
- legal advancements, such as laws enhancing data accessibility and transparency
- notably the 1991 Archives Law and the 2011 Access to Information Law. .
The country has also seen improvements in
- campaign finance
-public procurement
- court procedures
- public information becoming more transparent and available in digital databases.
- emergence of AI-based tools in Brazil's governmental agencies
- introduction of pioneering tools such as ContÁgil and Aniita by the Revenue Service
- web of accountability formed among these agencies, such as the Federal Court of Accounts, the Office of the Comptroller General, and the Administrative Council for Economic Defence, to combat corruption.
These tools target key governmental functions like public expenditure, public revenue, and court procedures, with a focus on automating administrative tasks, enhancing efficiency, and improving transparency.
EXAMPLES OF AI-ACT IN BRAZIL:
- Bots like Alice, Agata, Monica, Esmeralda, Iris, Rosie, and Rui.
- Applications in monitoring public spending and government functions.
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Anti-Corruption Bots: used in Brazil to cross-check data faster and visualise and communicate them better, helping to identify or even predict anomalies related to different types of corruption in the country.
They dig into data to increase accountability
they work as anti-corruption tools to identify suspicious activities related to:
- bid-rigging
- fraud in contracts
- cartel practices
- misuse of public money by congressional representatives
- sluggishness in the Supreme Court.
" Like the concept of corruption, AI is an umbrella term"
AI anti-corruption tools ( aka AI-ACT) are understood here as:
- data processing systems driven by tasks or problems designed to, with a degree of autonomy
- identify, predict, summarise, and/or communicate actions related to the misuse of position
- information and/or resources aimed at private gain at the expense of the collective good.
- the analysis of a given environment based on a set of predefined rules before acting.
- having the potential to work both autonomously or collaboratively with other machines and/or humans.
Benefits: Enhanced data analysis, improved accountability, increased detection efficiency.
Limitations: Data quality, transparency, potential biases, limited scope of bottom-up initiatives.
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