Method and hypothesis to solve problems with communication via artificial intelligence at scales

• DOI: 10.22533/at.ed.5582372228118

• Palavras-chave: Artificial intelligence; Database; Bias; Scales; Communication; Computing; Information Engineering; Ethic; Geography.

• Keywords: Artificial intelligence; Database; Bias; Scales; Communication; Computing; Information Engineering; Ethic; Geography.

• Abstract:

  From open source data collection, we study how communication via Artificial Intelligence at different scales enables new products, markets, business models and consumer experiences. Since it can automate tasks, reduce costs and speed up communication processes, transforming them; allowing companies to engage with the final consumer in language generated by machines, believable to human language, which derives in numerous implications. We also study how artificial intelligence can lead to understanding and decision making through analytics from complex sources, for predictive purposes; protecting a citizen, business or state from risks such as fraud and promoting cybersecurity. We identified the need for greater engendering between the areas of human and social communication and the IT area, in order to solve problems in AI. And, above all, we identified the imperative need to improve the development of databases that are used as the basis for AI work, in order to avoid the problem of bias in data processing.