Competence in Scalability and Performance of AI Models Based on Benchmarks Between the United States and China

Artificial Intelligence

Date: March 2024

Priscilla Campos Díaz

Priscilla Campos Díaz

This aims to conduct a comprehensive and comparative analysis to inform and raise public awareness about the risks associated with Artificial Intelligence (AI) and the necessity of specific regulations. Utilizing a matrix of factors, the project will compare AI regulations across Latin American countries and the European Union, which has recently passed the AI Act. This matrix will explore key areas such as existing AI laws, investment levels in AI research, technological advancement, data protection policies, and leading national AI-using companies. The project seeks to highlight the importance of fairness and justice in AI algorithm design, data privacy, security, and the authenticity of AI-generated content. Additionally, it will stress the urgency of accountability mechanisms for tech companies and institutions to ensure ethical AI development and application.

This aims to conduct a comprehensive and comparative analysis to inform and raise public awareness about the risks associated with Artificial Intelligence (AI) and the necessity of specific regulations. Utilizing a matrix of factors, the project will compare AI regulations across Latin American countries and the European Union, which has recently passed the AI Act. This matrix will explore key areas such as existing AI laws, investment levels in AI research, technological advancement, data protection policies, and leading national AI-using companies. The project seeks to highlight the importance of fairness and justice in AI algorithm design, data privacy, security, and the authenticity of AI-generated content. Additionally, it will stress the urgency of accountability mechanisms for tech companies and institutions to ensure ethical AI development and application.