Understanding artificial intelligence and legitimate interest

Abstract

Artificial Intelligence (AI) has revolutionized various areas of knowledge and economic sectors, introducing innovations that have a profound impact on society. However, along with the benefits come significant challenges, especially related to privacy and the processing of personal data. The work "Understanding Artificial Intelligence and Legitimate Interest" explores the historical context of AI, its theoretical foundations, methodologies employed and stages of development, as well as the complexity of the associated probabilistic uncertainty. To achieve the proposed objectives, this study adopted a methodological approach based on a literature review and critical analysis. The study discusses the origins of AI and the milestones that have shaped it to date, highlighting the principles that underpin its progress. The analysis of the probability of uncertainty emphasizes the statistical nature of the predictions made by AI systems, contrasting with the misconception of absolute determinism. A special focus is given to privacy, examined in the light of the General Data Protection Law (LGPD) and the concept of legitimate interest. The study demonstrates how the judiciary can use legitimate interest to justify the processing of personal data in AI, underlining the urgent need to implement robust data protection measures.