Federico Galli

ORCID: 0000-0003-3739-5387
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About
Contact & Profiles
Research Areas
  • European and International Contract Law
  • Ethics and Social Impacts of AI
  • Diverse Legal and Medical Studies
  • Digitalization, Law, and Regulation
  • Artificial Intelligence in Law
  • Privacy, Security, and Data Protection
  • AI in Service Interactions
  • Topic Modeling
  • Digital Marketing and Social Media
  • Consumer Retail Behavior Studies
  • Law, AI, and Intellectual Property
  • Media and Digital Communication
  • Cybercrime and Law Enforcement Studies
  • Blockchain Technology Applications and Security
  • Digital Media and Philosophy
  • Comparative and International Law Studies
  • Law, Economics, and Judicial Systems
  • Sentiment Analysis and Opinion Mining
  • Intellectual Property Law
  • Media, Gender, and Advertising
  • Freedom of Expression and Defamation
  • Consumer Behavior in Brand Consumption and Identification
  • Natural Language Processing Techniques
  • Legal Language and Interpretation
  • Multi-Agent Systems and Negotiation

University of Bologna
2022-2025

Argument structure prediction aims to identify the relations between arguments or parts of arguments. It is a crucial task in legal argument mining, where it could help identifying motivations behind judgments even fallacies inconsistencies. also very challenging task, which relatively underdeveloped compared other mining tasks, owing number reasons including low availability datasets and high complexity reasoning involved. In this work, we address argumentative link decisions by Court...

10.1145/3594536.3595174 article EN 2023-06-19

We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. have focused generation summaries judicial decisions the extraction related information, such as identification legal issues decision-making criteria, specification keywords. To this end, we deployed evaluated different tools approaches extractive abstractive summarisation. applied LLMs, particularly GPT4, has enabled us...

10.48550/arxiv.2308.04416 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Today’s online businesses increasingly employ different AI tools to perform marketing and customer management tasks (e.g. target ad-vertising, product recommendations, personalised pricing, etc.). This de-velopment poses a threat consumers autonomy as it increases the like-lihood of manipulative results in purchase decisions. paper explains two ways which employment can lead distortive consumers’ decision-making. In addition, some reflections are proposed over role fair law protecting...

10.34632/catolicalawreview.2020.9320 article EN 2020-05-01
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