| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 375 | 22 | 39 | 16 |
The scientific interests tackled in the journal are Philosophy of law, Legal aspects of computing, Artificial intelligence, Epistemology and Argumentation theory. Attendees participated in lively discussions that mix various fields of study, including Philosophy of law and Law, Argument, Management science, Law and economics and Case-based reasoning. Case-based reasoning research discussed connects with the study of Deductive reasoning.
Legal aspects of computing research featured in Artificial Intelligence and Law incorporates concerns from various other topics such as Context (language use), Knowledge management, Computer security, Data science and Normative. The research on Knowledge management featured in the journal combines topics in other fields like Ontology (information science) and Multi-agent system. The Artificial intelligence works featured in the journal incorporate elements from Machine learning, Mathematical economics and Natural language processing.
It covers various topics on Epistemology such as Dialectic, Defeasible reasoning and Legal reasoning.
The published papers facilitate discussions on Philosophy of law, Legal aspects of computing, Artificial intelligence, Epistemology and Argument. The journal papers explore issues in Legal aspects of computing which can be linked to other research areas like Context (language use), Deontic logic, Law, Normative and Data science. The published papers focus on Artificial intelligence but the discussions also offer insight into other areas such as Convention, Law and economics, Ratio decidendi and Natural language processing.
Artificial Intelligence and Law primarily tackles Philosophy of law, Legal aspects of computing, Artificial intelligence, Law and Robot. It aims to bridge the gap between the study of Philosophy of law and research in different fields like Data science, Constraint (information theory), Mathematical economics, Liability and Rule of law. Artificial Intelligence and Law explores issues in Legal aspects of computing which can be linked to other research areas like Robotics, Management science, Judicial opinion, Semantic technology and Predictive policing.
The studies in Artificial intelligence featured incorporate elements of Task (project management) and Natural language processing. Some problems in Law that were presented in it overlapped with concepts under Space (commercial competition), Open problem and Benchmark (computing). Issues in Robot were discussed, taking into consideration concepts from other disciplines like International law, Dehumanization and Human–computer interaction.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Artificial Intelligence and Law (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Artificial Intelligence and Law (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 38.46% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.12% of all publications and 53.12% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
This article outlines some key focuses of research within the intersection of artificial intelligence and law, but a valuable addition would provide insight into potential career paths in this emerging field. With a rapidly increasing demand for professionals who understand both artificial intelligence (AI) and its potential legal implications, there has been a growing interest in career opportunities within this area. Potential roles could include jobs as an AI Ethics Consultant, Legal Analyst in AI, or as an AI Intellectual Property Lawyer. These roles would require a strong understanding not just of the law, but of the specific ways AI can interact with, challenge, and change existing legal frameworks. For instance, an AI Ethics Consultant would work closely with tech companies and law firms to develop ethical guidelines for AI usage. They need to consider both the technical capabilities of AI systems as well as the corresponding legal concerns. Meanwhile, an AI Intellectual Property Lawyer would focus specifically on the complex issues raised by AI in the realm of copyrights, patents, and trade secrets. This could involve everything from determining the patentability of AI-created inventions to the copyright implications of machine-generated art. The pathway to these careers could look different for different individuals. Some may choose to go to a law school with a strong focus on technology and intellectual property law, while others might come from a computer science background and gain legal expertise on the job. In the context of an academic focus on AI and law, becoming an art teacher could seem a bit unusual. However, there's a fascinating potential role at the intersection of these fields: helping students understand the implications of AI in their own creative work. If you're interested in a unique career path at the intersection of these disciplines, learning how to become an elementary art teacher in New Jersey could be a valuable step. These career paths and roles are just a few examples of the opportunities in this exciting and rapidly-growing field. As AI continues to evolve and proliferate, the need for professionals who can navigate the intersection of artificial intelligence and law will only increase.
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