Artificial Intelligence in Law

No abstract yet.

AIMS: To investigate the impact of the 2005 International Society of Urological Pathology (ISUP) Gleason grading consensus in contemporary practice. METHODS AND RESULTS: The Gleason scores (GS) were compared in two consecutive patient cohorts with matched biopsies and prostatectomies: (i) 908 patients evaluated before…

This paper explores the emerging field of prompt engineering within generative AI, emphasizing its role as a critical intersection between art and science. Prompt engineering is identified as the key to unlocking the full potential of generative AI technologies by optimizing human-AI communication. Through a comprehen…

• ARAS BOZKURT

Yapay zekâ, insanların sergilediği doğal zekânın aksine, etkileşimli makineler yahut bilişim sistemleri tarafından gösterilen akıl yürütme, yargılama ve sonuç çıkarma yeteneği olarak ifade edilmektedir. Her geçen gün yapay zekâ uygulamalarının kullanım alanlarının gösterdiği yaygınlık çerçevesinde, bunların birbirleri…

• SİNAN SAMİ AKKURT

Yapay zekâ, insanların sergilediği doğal zekânın aksine, etkileşimli makineler yahut bilişim sistemleri tarafından gösterilen akıl yürütme, yargılama ve sonuç çıkarma yeteneği olarak ifade edilmektedir. Her geçen gün yapay zekâ uygulamalarının kullanım alanlarının gösterdiği yaygınlık çerçevesinde, bunların birbirleri…

• SİNAN SAMİ AKKURT

This article draws on an artificial intelligence (AI) technique to predict whether an individual application regarding the Turkish Constitutional Court's public morality and freedom of expression cases leding to a “violation” or a “nonviolation” decision. To this end, four different data sets have been composed, precl…

• İRFAN HAŞLAK

The Automated Negotiating Agents Competition is an international event that, since 2010, has contributed to the evaluation and development of new techniques and benchmarks for improving the state of the art in automated multi‐issue negotiation. A key objective of the competition has been to analyze and search the desi…

• REYHAN AYDOĞAN

This article draws on an artificial intelligence (AI) technique to predict whether an individual application regarding the Turkish Constitutional Court's public morality and freedom of expression cases leding to a “violation” or a “nonviolation” decision. To this end, four different data sets have been composed, precl…

• MEHMET FATİH SERT

Abstract Natural language processing (NLP) technologies and applications in legal text processing are gaining momentum. Being one of the most prominent tasks in NLP, named-entity recognition (NER) can substantiate a great convenience for NLP in law due to the variety of named entities in the legal domain and their acc…

This paper is one in a series of analyses of the Dutch Simonshaven murder case, each using a different modeling approach. We adopted a Bayesian network (BN)-based approach which requires us to determine the relevant hypotheses and evidence in the case and their relationships (captured as a directed acyclic graph) alon…

• BARBAROS YET

Crime prediction has become a valuable tool for enhancing predictive policing, enabling law enforcement agencies to allocate resources more effectively and implement proactive crime prevention strategies, particularly in high-crime areas. The use of artificial intelligence (AI) has revolutionized this field by analyzi…

• TANER ERSÖZ

Companies invest a substantial amount of time and resources in ensuring the compliance to the existing regulations or in the form of fines when compliance cannot be proven in auditing procedures. The topic is not only relevant, but also highly complex, given the frequency of changes and amendments, the complexity of t…