Artificial Intelligence and Legal Evidence: The Indian Policy and Perspective
暫譯: 人工智慧與法律證據：印度政策與觀點
Ahmed Khan, Sarfaraz, Dasgupta, Lovely, Ghosh, Saptarshi
商品描述
This book explores AI's impact on legal evidence, with a particular focus on its use within Indian law, by identifying the key feature of an Artificial intelligence-driven Justice Delivery System. It seeks to bridge the gap in the literature on the intersection of AI and law, specifically the evaluation of evidence. The book focuses on AI's potential to enhance the evaluation of evidence in various legal contexts. It considers the reliability, admissibility, and standardisation of AI-generated evidence in legal proceedings.
The key features of the book are:
- Presents case studies and examples from multiple branches of law, exploring AI's use in evidence collection, analysis, and evaluation across diverse legal domains.
- Offering a unique perspective on AI and legal evidence within India, the book provides a critical look at how AI can be integrated into India's legal framework and the implications for the country's judicial system.
- Addresses the policy gaps and regulatory frameworks needed to govern AI in the legal sphere, with a focus on India's evolving stance on AI.
- Emphasizes the need for ethical standards and privacy protection while using AI to evaluate legal evidence, examines the challenges in ensuring the validity and fairness of AI-generated evidence.
- Highlights the future potential of AI in transforming the legal industry, particularly in terms of improving efficiency, reducing bias, and enabling more effective evidence evaluation.
The book will be useful for academicians and scholars interested in Artificial Intelligence's impact and use in the legal system.
商品描述(中文翻譯)
這本書探討人工智慧（AI）對法律證據的影響，特別關注其在印度法律中的應用，並識別以人工智慧驅動的司法交付系統的關鍵特徵。它旨在填補有關AI與法律交集的文獻空白，特別是證據評估的部分。該書專注於AI在各種法律背景下增強證據評估的潛力，考慮AI生成證據在法律程序中的可靠性、可接受性和標準化。
本書的主要特點包括：
- 提供來自多個法律領域的案例研究和範例，探討AI在證據收集、分析和評估中的應用。
- 從獨特的視角看待印度的AI與法律證據，對AI如何融入印度法律框架及其對該國司法系統的影響進行批判性分析。
- 討論治理法律領域中AI所需的政策空白和監管框架，重點關注印度對AI日益演變的立場。
- 強調在使用AI評估法律證據時對倫理標準和隱私保護的需求，並檢視確保AI生成證據的有效性和公正性所面臨的挑戰。
- 突出AI在改變法律行業未來潛力，特別是在提高效率、減少偏見和促進更有效的證據評估方面。
本書將對對人工智慧在法律系統中的影響和應用感興趣的學者和學術界人士有所幫助。
作者簡介
Sarfaraz Ahmed Khan is currently serving as a Professor at West Bengal National University of Juridical Sciences. He previously served as Professor and Director at Symbiosis Law School, Hyderabad. He is involved in research intertwining the Criminal Justice Administration, Human Rights and Human Trafficking. He has authored several books on these subjects, including The Transnational Sex Trafficking: An Integrated Reparation Model (Thomson Reuters, 2019) which emphasizes on a human rights dimension of cross border sex- trafficking between India and Bangladesh. He is a recipient of prestigious fellowships including the British Chevening Scholarship, Hong Kong UGC Scholarship, Michigan Grotius Research Fellowship, and the U.S. Department of State's IVLP Fellowship.
Lovely Dasgupta is currently serving as a Professor at the West Bengal National University of Juridical Sciences. She has been teaching and researching Sports Law, Contract, and Legal Education. Her key publications include: Esports and the World Anti-Doping Code (Routledge, UK); Online Gaming in India Technology, Policy, and Challenges, Edited By Lovely Dasgupta, Shameek Sen, (Chapman & Hall) and Sport in Contemporary India Society, Culture and Governance, Edited by Surajit C Mukhopadhyay, Lovely Dasgupta, (Routledge, UK).
Saptarshi Ghosh is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur. His current research interests are in Legal data analytics, AI and Sustainability, and Algorithmic bias and fairness. His research is inter-disciplinary and uses techniques from Machine Learning, Natural Language Processing, Information Retrieval, and Complex Network Theory. He received his PhD in Computer Science from IIT Kharagpur in 2013. He was a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He heads a Max Planck Partner Group at IIT Kharagpur, that focuses on algorithmic bias and fairness. He is presently an Editor-in-Chief of the journal "Artificial Intelligence and Law", the premier journal in the domain of AI and Law.
Kripabandhu Ghosh is an Associate Professor at Indian Institute of Science, Education and Research, Kolkata. He completed his PhD (Computer Science) at the Indian Statistical Institute, Kolkata. His research interests include information retrieval, data mining, and AI in the legal domain; information extraction from social media text in disaster situations; fairness in text summarization; and data mining on noisy text.
作者簡介(中文翻譯)
Sarfaraz Ahmed Khan 目前擔任西孟加拉國立法學院的教授。他曾擔任海得拉巴的Symbiosis法學院教授及主任。他的研究涉及刑事司法管理、人權及人口販運。他著有多本相關主題的書籍，包括《跨國性交易：綜合賠償模型》（Thomson Reuters, 2019），該書強調印度與孟加拉國之間跨境性交易的人權維度。他獲得多項著名獎學金，包括英國切文寧獎學金、香港UGC獎學金、密西根Grotius研究獎學金及美國國務院的IVLP獎學金。
Lovely Dasgupta 目前擔任西孟加拉國立法學院的教授。她專注於體育法、合同及法律教育的教學與研究。她的主要出版物包括：《電子競技與世界反興奮劑法典》（Routledge, UK）；《印度的在線遊戲：技術、政策與挑戰》，由Lovely Dasgupta及Shameek Sen編輯（Chapman & Hall）；以及《當代印度的體育：社會、文化與治理》，由Surajit C Mukhopadhyay及Lovely Dasgupta編輯（Routledge, UK）。
Saptarshi Ghosh 是印度理工學院（IIT）卡哈爾古爾計算機科學與工程系的副教授。他目前的研究興趣包括法律數據分析、人工智慧與可持續性，以及算法偏見與公平性。他的研究是跨學科的，使用機器學習、自然語言處理、信息檢索及複雜網絡理論的技術。他於2013年在IIT卡哈爾古爾獲得計算機科學博士學位。他曾在德國馬克斯·普朗克軟件系統研究所（MPI-SWS）擔任洪堡博士後研究員。他負責IIT卡哈爾古爾的馬克斯·普朗克合作小組，專注於算法偏見與公平性。他目前是《人工智慧與法律》期刊的主編，該期刊是人工智慧與法律領域的頂尖期刊。
Kripabandhu Ghosh 是印度科學教育與研究所（IISER）加爾各答的副教授。他在印度統計學院加爾各答完成計算機科學博士學位。他的研究興趣包括法律領域的信息檢索、數據挖掘及人工智慧；在災難情況下從社交媒體文本中提取信息；文本摘要的公平性；以及對噪聲文本的數據挖掘。
