Quality follows upgrading
Academic
Progress in natural language processing technologies (NLP) is a cardinal factor of major socioeconomic importance behind innovative digital products. However, inadequate legal regulation of quality …
Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued …
The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and …
Abstract Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, …
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted …
While most studies on the topic of AI, algorithms and bias have been conducted from the point of view of ‘fairness’ in the field of …
Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing …
Abstract The development of generative AI has significantly impacted the copyright field, particularly in determining the copyright status of AI‐generated content. This paper compares China …
In this brief contribution, I distinguish between code-driven and data-driven regulation as novel instantiations of legal regulation. Before moving deeper into data-driven regulation, I explain …