The intersection of machine learning and legal frameworks for data availability is critical for the advancement of Big Data and Data Science. This workshop aims to explore the legal challenges and considerations at the national level that affect data availability for machine learning. Additionally, it will delve into the linguistic aspects of legal data, such as the creation and use of terminological datasets to support the simplification of legal language. By examining case studies, existing laws, emerging regulations, and linguistic methodologies, participants will gain insights into how to navigate legal landscapes and enhance the accessibility of legal texts for machine learning applications.

The main objectives of the workshops are:

• Identify Legal Frameworks: Understand the various national laws and regulations that impact data availability for machine learning.
• Examine Compliance Strategies: Discuss strategies for ensuring compliance with data protection laws while maintaining data availability.
• Explore Linguistic Simplification: Investigate the role of terminological datasets in simplifying legal language for better machine learning integration.
• Analyze Case Studies: Review real-world examples to understand the practical implications of legal requirements and linguistic simplification.
• Foster Multidisciplinary Collaboration: Encourage dialogue between legal experts, data scientists, linguists, policymakers, and industry professionals.

The first session of the program will be in italian while the second session will be in English.

Thursday 19 September 2024

The language of the presentations of this session is Italian

The language of the presentations of this session is English