Armin Alimardani
Biographic Data
| ID | 7705147 |
|---|---|
| NAME | Armin Alimardani |
| GIVEN NAMES | Armin |
| FAMILY NAME | Alimardani |
| SIGNATURE | ALIMARDANI A |
| AFFILIATIONS | University of Wollongong |
| ORCID | 0000-0002-5580-4239 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Legal Minds Vs. Neural Networks
This article reports on a follow-up investigation to a 2023 study examining the academic performance of Generative AI (GenAI) in university-level Criminal Law assessment. We evaluated GenAI models from five artificial intelligence (AI) providers across two compulsory subjects in the Bachelor of Laws (LLB) degree at the University of Wollongong: Criminal Law and Procedure A (‘Criminal Law’) and Law of Torts (‘Tort Law’). For each subject, nine exa…
GenAI and the Mirage of Personalised Learning for All
Generative artificial intelligence (GenAI) is gaining attention in education, particularly for its potential to personalise learning. However, studies have yet to assess its effectiveness and identify its limitations within controlled educational contexts across various disciplines and GenAI models. This study aims to help fill this gap by evaluating ‘SmartTest’, a GenAI chatbot designed by the authors to prompt questions, offer immediate feedbac…
Beyond black boxes and biases
The Promise and the Peril of the Use of Generative Artificial Intelligence in Litigation
Generative artificial intelligence (‘GenAI’) has been employed by lawyers and parties to litigation in courts and tribunals around the world. While GenAI holds out the promise of more accessible legal services, GenAI also creates risks, such as the production of non-existent or inaccurate case citations and statements of law. Both lawyers and self-represented litigants (‘SRLs’) have failed to verify this ‘fake’ law and have used the outputs in li…
Big Data, Behavioral Genetics and Risk of Future Offending
A convergence of trends in assessing the future risk of reoffending could result in morally questionable inputs into the criminal process. Advances in the analysis of DNA and increases in the availability of information about people gleaned from social media might allow for new inferences to be drawn against offenders during the sentencing process. We explore how developments in forensic DNA analysis methods and law enforcement DNA databases in c…
A Bio-Social Review to Mitigate the Punishment of Unwanted Acts
Commitment of crime and exhibition of antisocial behavior have been considered as negative acts from early times of human civilization. Recent scientific advances have identified contributions of biological and sociological (environmental factors) factors in forming a maladaptive behavior. Generally, it is accepted by many scholars that punishing a wrongdoer, who has committed a crime owing to genetic predispositions and environmental elements, i…
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A Bio-Social Review to Mitigate the Punishment of Unwanted Acts
Commitment of crime and exhibition of antisocial behavior have been considered as negative acts from early times of human civilization. Recent scientific advances have identified contributions of biological and sociological (environmental factors) factors in forming a maladaptive behavior. Generally, it is accepted by many scholars that punishing a wrongdoer, who has committed a crime owing to genetic predispositions and environmental elements, i…
Big Data, Behavioral Genetics and Risk of Future Offending
A convergence of trends in assessing the future risk of reoffending could result in morally questionable inputs into the criminal process. Advances in the analysis of DNA and increases in the availability of information about people gleaned from social media might allow for new inferences to be drawn against offenders during the sentencing process. We explore how developments in forensic DNA analysis methods and law enforcement DNA databases in c…
GenAI and the Mirage of Personalised Learning for All
Generative artificial intelligence (GenAI) is gaining attention in education, particularly for its potential to personalise learning. However, studies have yet to assess its effectiveness and identify its limitations within controlled educational contexts across various disciplines and GenAI models. This study aims to help fill this gap by evaluating ‘SmartTest’, a GenAI chatbot designed by the authors to prompt questions, offer immediate feedbac…
Beyond black boxes and biases
The Promise and the Peril of the Use of Generative Artificial Intelligence in Litigation
Generative artificial intelligence (‘GenAI’) has been employed by lawyers and parties to litigation in courts and tribunals around the world. While GenAI holds out the promise of more accessible legal services, GenAI also creates risks, such as the production of non-existent or inaccurate case citations and statements of law. Both lawyers and self-represented litigants (‘SRLs’) have failed to verify this ‘fake’ law and have used the outputs in li…
Legal Minds Vs. Neural Networks
This article reports on a follow-up investigation to a 2023 study examining the academic performance of Generative AI (GenAI) in university-level Criminal Law assessment. We evaluated GenAI models from five artificial intelligence (AI) providers across two compulsory subjects in the Bachelor of Laws (LLB) degree at the University of Wollongong: Criminal Law and Procedure A (‘Criminal Law’) and Law of Torts (‘Tort Law’). For each subject, nine exa…
Artificial Intelligence in Law (3 works) · Psychology (3 works) · Criminal Justice and Corrections Analysis (2 works) · Criminology (2 works) · Ethics and Social Impacts of AI (2 works) · Law (2 works) · Law, AI, and Intellectual Property (2 works) · Legal profession (2 works) · Political science (2 works) · Project commissioning (2 works)