Daniel de Tomazo
Account Planner at .
São Paulo, Brazil
TitleRicky Brasil
Agency
Campaign Ricky Brasil
Advertiser Forbes Brazil Magazine
Brand Forbes
Date of First Broadcast/Publication 2018 / 4
Business Sector Media, Publishing & Production
Story Corruption in Brazil is a multi-billion-dollar business. Although the accurate amount siphoned off public coffers escapes any assessment, officers with the ‘Operaçao Lava Jato’ (Operation Car Wash) officially estimate that resources lost to local bribery schemes amount to roughly US$ 61 billion a year. If the sum ended up in the hands of a single individual, she would hold the eighth largest fortune in the world, according to Forbes World’s Billionaires List 2018.   But what would the identity of this Brazilian “billionaire” be? His bodily features? His opinions, consumer habits? Which market segment would be operate in? What would he think about the graft probing operations? To raise public awareness around Brazil and join in the fight against corruption, magazine Forbes Brazil, ad agency Ogilvy Brazil, and technology companies Nexo and Notan have employed artificial intelligence to attempt to vividly depict the ‘face’ of Brazilian corruption. Along with the face itself and its features, our machine-learning device took the experiment one step further and pointed out personality traits associated with this person, called Mr. Ricky Brasil – a reference to Brazil’s billion-dollar corruption.        The project leading to Mr. Ricky Brasil began over ten months ago, with extensive research into the interviews and official depositions of some of the main convicts during operations Mensalão and Car Wash. With this content – local media reports, statements, interviews, books – being fed into the system, artificial intelligence could cross-check information and finally produce what is believed to be the closest portrayal of Mr. Ricky Brasil. The project is under curatorship of a journalist and a specialised writer.
Philosophy Corruption in Brazil is a multi-billion-dollar business. Although the accurate amount siphoned off public coffers escapes any assessment, officers with the ‘Operaçao Lava Jato’ (Operation Car Wash) officially estimate that resources lost to local bribery schemes amount to roughly US$ 61 billion a year. If the sum ended up in the hands of a single individual, she would hold the eighth largest fortune in the world, according to Forbes World’s Billionaires List 2018.   But what would the identity of this Brazilian “billionaire” be? His bodily features? His opinions, consumer habits? Which market segment would be operate in? What would he think about the graft probing operations? To raise public awareness around Brazil and join in the fight against corruption, magazine Forbes Brazil, ad agency Ogilvy Brazil, and technology companies Nexo and Notan have employed artificial intelligence to attempt to vividly depict the ‘face’ of Brazilian corruption. Along with the face itself and its features, our machine-learning device took the experiment one step further and pointed out personality traits associated with this person, called Mr. Ricky Brasil – a reference to Brazil’s billion-dollar corruption.        The project leading to Mr. Ricky Brasil began over ten months ago, with extensive research into the interviews and official depositions of some of the main convicts during operations Mensalão and Car Wash. With this content – local media reports, statements, interviews, books – being fed into the system, artificial intelligence could cross-check information and finally produce what is believed to be the closest portrayal of Mr. Ricky Brasil. The project is under curatorship of a journalist and a specialised writer.
Media Type Digital
Length
Chief Creative Officer
Executive Creative Director
Creative Director
Creative Director
Art Director
Copywriter
Account Planner
Project Manager
Production Company Producer
Media Director
Editor
Advertising Manager
Production Company
Director
Photography / Illustration
Production Company Producer
Sound Production
3D Graphics
Music Composer

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