Artificial Intelligence Based Legal Application For Combating Domestic Violence

Devyani Pokhriyal, Rajesh Bahuguna, M. Memoria, Rajiv Kumar
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Abstract

When we talk about domestic violence, it includes a broad range of violent acts committed by one family member or household against another. Restrictions imposed during the recent pandemic made it impossible for domestic violence victims to access proper authority for effective remedies. To overcome this research gap, we aim to propose artificial technology-based domestic violence redressal mechanisms using ASR (automated speech recognition) for people who cannot physically go to official authorities. A literature review was conducted using literature from Scopus, PubMed, Research gate, and Semantic Scholar. We discovered that lack of physical access during the pandemic was the reason for the rise in domestic violence cases. Proposed Artificial Intelligence technology-based redressal mechanisms would help to deter physical barriers imposed by the pandemic.
基于人工智能的反家庭暴力法律应用
当我们谈论家庭暴力时,它包括一个家庭成员或家庭成员对另一个家庭成员犯下的一系列暴力行为。在最近的流行病期间实施的限制使家庭暴力受害者无法获得适当的权力,获得有效的补救。为了克服这一研究差距,我们的目标是提出基于人工技术的家庭暴力补救机制,使用ASR(自动语音识别)为无法亲自前往官方当局的人提供帮助。使用Scopus、PubMed、Research gate和Semantic Scholar的文献进行文献综述。我们发现,大流行期间缺乏实际接触是家庭暴力案件增加的原因。拟议的基于人工智能技术的补救机制将有助于阻止大流行造成的物理障碍。
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