Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry

The advent and growing popularity of generative artificial intelligence (GenAI) holds the potential to revolutionise AI applications in forensic psychiatry and criminal justice, which traditionally relied on discriminative AI algorithms. Generative AI models mark a significant shift from the previou...

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Main Author: Leda Tortora
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1346059/full
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author Leda Tortora
author_facet Leda Tortora
author_sort Leda Tortora
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description The advent and growing popularity of generative artificial intelligence (GenAI) holds the potential to revolutionise AI applications in forensic psychiatry and criminal justice, which traditionally relied on discriminative AI algorithms. Generative AI models mark a significant shift from the previously prevailing paradigm through their ability to generate seemingly new realistic data and analyse and integrate a vast amount of unstructured content from different data formats. This potential extends beyond reshaping conventional practices, like risk assessment, diagnostic support, and treatment and rehabilitation plans, to creating new opportunities in previously underexplored areas, such as training and education. This paper examines the transformative impact of generative artificial intelligence on AI applications in forensic psychiatry and criminal justice. First, it introduces generative AI and its prevalent models. Following this, it reviews the current applications of discriminative AI in forensic psychiatry. Subsequently, it presents a thorough exploration of the potential of generative AI to transform established practices and introduce novel applications through multimodal generative models, data generation and data augmentation. Finally, it provides a comprehensive overview of ethical and legal issues associated with deploying generative AI models, focusing on their impact on individuals as well as their broader societal implications. In conclusion, this paper aims to contribute to the ongoing discourse concerning the dynamic challenges of generative AI applications in forensic contexts, highlighting potential opportunities, risks, and challenges. It advocates for interdisciplinary collaboration and emphasises the necessity for thorough, responsible evaluations of generative AI models before widespread adoption into domains where decisions with substantial life-altering consequences are routinely made.
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spelling doaj.art-51bcba6f09b04a889ef49c94270fe3bd2024-03-08T09:52:18ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402024-03-011510.3389/fpsyt.2024.13460591346059Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic PsychiatryLeda TortoraThe advent and growing popularity of generative artificial intelligence (GenAI) holds the potential to revolutionise AI applications in forensic psychiatry and criminal justice, which traditionally relied on discriminative AI algorithms. Generative AI models mark a significant shift from the previously prevailing paradigm through their ability to generate seemingly new realistic data and analyse and integrate a vast amount of unstructured content from different data formats. This potential extends beyond reshaping conventional practices, like risk assessment, diagnostic support, and treatment and rehabilitation plans, to creating new opportunities in previously underexplored areas, such as training and education. This paper examines the transformative impact of generative artificial intelligence on AI applications in forensic psychiatry and criminal justice. First, it introduces generative AI and its prevalent models. Following this, it reviews the current applications of discriminative AI in forensic psychiatry. Subsequently, it presents a thorough exploration of the potential of generative AI to transform established practices and introduce novel applications through multimodal generative models, data generation and data augmentation. Finally, it provides a comprehensive overview of ethical and legal issues associated with deploying generative AI models, focusing on their impact on individuals as well as their broader societal implications. In conclusion, this paper aims to contribute to the ongoing discourse concerning the dynamic challenges of generative AI applications in forensic contexts, highlighting potential opportunities, risks, and challenges. It advocates for interdisciplinary collaboration and emphasises the necessity for thorough, responsible evaluations of generative AI models before widespread adoption into domains where decisions with substantial life-altering consequences are routinely made.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1346059/fullforensic psychiatryforensic AIgenerative AIgenerative artificial intelligencediscriminative AIethical AI
spellingShingle Leda Tortora
Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
Frontiers in Psychiatry
forensic psychiatry
forensic AI
generative AI
generative artificial intelligence
discriminative AI
ethical AI
title Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
title_full Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
title_fullStr Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
title_full_unstemmed Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
title_short Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
title_sort beyond discrimination generative ai applications and ethical challenges in forensic psychiatry
topic forensic psychiatry
forensic AI
generative AI
generative artificial intelligence
discriminative AI
ethical AI
url https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1346059/full
work_keys_str_mv AT ledatortora beyonddiscriminationgenerativeaiapplicationsandethicalchallengesinforensicpsychiatry