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Bharitya Sakshya Adhiniyam (BSA) & Information Technology Act: Challenges for Digital Records of Evidence

Indian Evidence Act & BSA Until recently, the Indian Evidence Act, 1872 (IEA) was the primary legislation governing the admissibility and evaluation of evidence in both criminal and civil cases in India. However, with effect from 01.07.2024, this landmark legislation has been superseded by the Bharatiya Sakshya Adhiniyam, 2023 (BSA), marking a significant shift in the country’s evidentiary framework. The BSA aims to establish a comprehensive legal framework for electronic records, tackling the intricacies of digital evidence in India. This entails introducing novel definitions, benchmarks, and protocols to validate and confirm the authenticity of electronic records, thereby rendering them trustworthy evidence in judicial proceedings. Key Changes The IEA’s territorial application was explicitly limited to India (Section 1), whereas the BSA’s Section 1 omits this geographical restriction. This omission appears to be a deliberate move to facilitate the admission of digital evidence originating from outside India, potentially broadening the Act’s scope to accommodate international digital evidence. Document – Section 2(d), BSA (Sec 3(e) IEA): The BSA broadens the definition of documentary evidence to explicitly include digital and electronic records. The term ‘document’ has been redefined to encompass modern forms of data storage and communication. Notably, an illustration has been added to clarify that ‘electronic records on emails, server logs, documents on computers, laptops or smartphones, messages, websites, locational evidence, and voice mail messages stored on digital devices are documents.’ This expansion is further supported by changes in the Bharatiya Nagarik Suraksha Sanhita, 2023 (BNSS). Challenges in Ensuring Data Integrity Inclusion of Electronic and Digital Records: The revised definition of a document now explicitly encompasses electronic and digital records, expanding its scope to include any information conveyed, described, or stored electronically through devices like computers, smartphones, or other digital tools. Expansion of Means of Recording: The revised definition takes a more comprehensive approach, acknowledging that information can be recorded in various forms beyond traditional written symbols, numbers, or marks. It now includes any method of capturing information, such as audio or video recordings, or other innovative means of documentation. Intended Use: Both definitions emphasize the purpose of a document is to record information, but the newer definition explicitly includes electronic and digital formats as intended uses. Evidence: The revised definition of ‘evidence’ broadens its scope to encompass electronic oral statements and explicitly includes digital records as documentary evidence, acknowledging the modern shift towards digital information storage and communication in contrast to the old framework, which mainly focused on traditional oral testimony and physical documents, potentially restricting its relevance in today’s digital landscape. Section 57 of the BSA significantly expanded the definition of ‘primary evidence’ to include various forms of electronic and digital records, providing clarity on what constitutes primary evidence in the context of electronic or digital records, addressing a significant gap in the previous legal framework. Interplay of BSA & IT Act Conflicting Definition and Scope of Electronic Records: The BSA introduces a broader definition of electronic records compared to the IT Act. Under the BSA, electronic records now include information stored in semiconductor memory, communication devices, and various digital formats. In contrast, the IT Act defines electronic records more narrowly as “data, record or data generated, image or sound stores, received or sent in an electronic form or microfilm or computer-generated micro fiche.” The BSA broadens the definition of electronic records, potentially creating legal ambiguities with the IT Act’s narrower definition. This discrepancy may lead to inconsistent court applications in cases involving new technologies or digital formats not explicitly covered by the IT Act. Conclusion Admissibility Procedures & Evidentiary Standards: The BSA’s electronic evidence admissibility approach conflicts with IT Act procedures, potentially causing confusion and inconsistencies due to differing requirements and authentication processes. The BSA treats electronic records as primary evidence while simultaneously retaining provisions for certificate authentication. This dual approach may create confusion in court proceedings. Authentication and Integrity of Digital Evidence: The IT Act provides a robust framework for verifying the integrity of certain types of electronic records, whereas the BSA acknowledges the significance of integrity but adopts a more expansive approach, enabling courts to seek expert opinions from Examiners of Electronic Evidence and accepting electronic records from ‘proper custody.’ However, the BSA lacks clear technical guidelines for maintaining the integrity of digital evidence throughout the collection and storage processes, leading to potential risks concerning chain of custody and tampering. The BSA’s modernization efforts, despite initial challenges, will pave the way for a more efficient and effective justice system, as jurisprudence adapts to electronic and digital records.

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India’s AI Copyright Quagmire

The rapid advancement of Artificial Intelligence (“AI”) has sparked a revolution across various sectors, but it has also given rise to complex legal challenges, particularly in the realm of Intellectual Property Rights (“IPR”). As a law practitioner in India, I find the intersection of AI and copyright law to be one of the most fascinating and contentious areas of contemporary legal discourse. In India, the Copyright Act, 1957 (“the Act”) serves as the primary framework for copyright protection. However, this legislation, enacted in a pre-digital era, is now confronted with novel challenges posed by AI. A pivotal question has emerged regarding the copyright protection of AI-generated works, specifically whether such works are eligible for copyright and, if so, who holds the ownership rights to these creations?[1] Since the Act could not have contemplated the emergence of AI generated content, the increasing use of AI in recent times has created ambiguity regarding authorship, ownership and infringement. Originality and AI Under the Act, protection is granted to ‘original literary, dramatic, musical and artistic works’ that are the product of human intellectual labour.[2] The notion of originality in Copyright law is rooted in human creativity and consciousness. However, with AI-generated works, the absence of human thought and intention raises a pivotal question: Can these works be considered legally “original” and eligible for copyright protection? The Hon’ble High Court of Delhi in its decision of ‘Tech Plus Media Private Ltd v. Jyoti Janda’ reported in 2014 SCC OnLine Del 1819 emphasized that copyright protection extends only to the expression of ideas, not to ideas themselves.[3] The application of this principle to AI-generated works is complicated by the fact that the programmer’s contribution (the underlying idea) and the AI’s generative process (the expression) cannot be separated or distinguished leading to circumspection about the ownership and originality of the resultant work. Authorship Section 17 of the Act embodies a human-centric perspective, limiting authorship to individuals, and implicitly excluding artificial intelligence or other non-human entities from claiming copyright or being recognized as authors. Although companies can acquire copyright through agreements with individuals (Section 18), the Act’s core structure prioritizes human creativity and ownership. The default rule in Section 17 also ensures that the original human creator retains the initial copyright, unless a contract dictates otherwise. The emergence of AI-generated creative works raises questions about authorship, as it is unclear who should be considered the author – the programmer who created the AI, the user who interacted with it, the AI system itself, or the company that owns the AI. The landmark ruling of the US Supreme Court in the case of Burrow-Giles Lithographic Co. v. Sarony[4] has had a significant impact on Indian copyright law and intellectual property law in general. This case went on to establish that photographs could be copyrighted because they involved creative choices by the photographer. Similarly, by extension, one could argue that AI-generated works involve creative choices and decisions in programming and data selection, potentially justifying copyright protection. Duration of Protection The duration of copyright protection presents an additional layer of complexity in the context of AI-generated works. Indian copyright law typically grants protection for 60 years following the author’s death, but this provision is rendered obsolete when applied to an AI system, which is essentially immortal. As a result, a novel approach is required to determine the appropriate duration of copyright protection for works created by AI. Copyright Infringement AI’s reliance on vast datasets, potentially including copyrighted materials, raises complex questions about copyright infringement and fair use. This challenges the existing fair dealing provisions in the Act i.e., Section 52, necessitating a reexamination of these rules to ensure they effectively address the novel implications of AI’s data-driven processes. The way forward In the Indian context, the burgeoning integration of AI in creative processes has precipitated a paradigmatic shift in the copyright landscape. As AI assumes a more pivotal role in generating literary, dramatic, musical, and artistic works, the need for a clarificatory framework becomes increasingly pressing. Recently, a press release issued by the Ministry of Commerce and Industry clarified that there is no requirement to create a separate category of rights for AI and related innovations in the Indian IPR Regime and further that the current legal framework under the Patent and Copyright Act is well-equipped to protect AI generated works and related innovations.[5] It was also clarified that there is no proposal to create any separate rights or amend the law in the context of AI-generated content. However as indicated above, the increasing use of AI has created ambiguity regarding authorship, ownership and infringement under the existing copyright framework. Consequently, the mandate falls upon the judiciary to undertake purposive interpretations of the established legal framework to navigate through the uncharted terrain to establish clear guidelines on AI’s role in copyright creation, ownership, and protection, ensuring a balance between incentivizing innovation and safeguarding creative rights. A nuanced understanding of AI’s capabilities and limitations will be crucial in shaping an Indian copyright regime that fosters creativity, innovation. [1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3369200 [2] Section 13, The Copyright Act, 1957 [3] Tech Plus Media Private Ltd v. Jyoti Janda, 2014 SCC OnLine Del 1819 [4] Burrow-Giles Lithographic Company v. Sarony, 111 U.S. 53 (1884) [5] Ministry of Commerce & Industry- Press Release ID: 2004715, Existing IPR regime well-equipped to protect AI generated works, no need to create separate category of rights posted on 09.02.2014 by PIB Delhi

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AI Regulation in India: A Dawn of Digital Governance

Artificial intelligence, once the stuff of science fiction, now stands at the threshold of reshaping the way World functions. As algorithms weave themselves into the fabric of Indian society, from healthcare to education, the government finds itself at a crossroads: How to harness the power of AI while safeguarding its citizens? India’s approach to AI regulation is evolving rapidly, with recent developments signaling a shift towards a more structured legal framework. The World at large has witnessed unprecedented technological advances concerning AI, which now impacts not only our daily lives. AI is most effective when it is used to complement human skills, and the people who learn how to leverage this collaboration well will get the most mileage out of AI tools. Current Legal Framework: The foundation of India’s digital regulation lies in the Information Technology Act, 2000 (IT Act), which, although not AI-specific, provides the basis for governing electronic data and intermediaries. Building upon this, the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, impose specific obligations on intermediaries, including those utilizing AI technologies. A significant addition to this framework is the enactment of the Digital Personal Data Protection Act, 2023 (DPDP Act, 2023). This act underscores the government’s recognition of the intertwined nature of AI and data protection addressing crucial data privacy concerns for AI systems processing personal data. Further, in March 2024, the Ministry of Electronics and Information Technology (MeitY) issued an advisory introducing new compliance requirements for AI models. These include prohibiting inherent bias or discrimination in AI systems, mandating government approval for deploying under-tested or unreliable AI models, and requiring permanent labeling or metadata for AI-generated content capable of producing misinformation. MeitY is currently drafting an AI-specific law, signaling the government’s commitment to establishing a comprehensive legal framework for AI regulation in India. This forthcoming legislation is expected to address the unique challenges posed by AI technologies and provide clearer guidelines for development and deployment. Legal Implications and Enforcement: The recent advisory expands the scope of intermediary liability under the IT Rules. AI platforms risk losing safe harbor protections if found non-compliant, potentially facing legal consequences for user-generated content. This development necessitates that businesses implement robust testing and documentation processes to demonstrate compliance with bias and reliability standards. While specific enforcement protocols for AI regulations are yet to be detailed, existing IT Act provisions provide a framework. Section 69A allows the government to block public access to non-compliant AI platforms, while Section 79 outlines the conditions for intermediary immunity, now including AI-specific compliance. Penalties under Section 45 may apply, with fines up to 5lakh for certain violations. The advisory, when read in conjunction with the DPDP Act, 2023 implies stricter consent requirements for AI systems processing personal data. Additionally, the labeling requirements for AI-generated content raise intriguing questions about copyrights and ownership of AI-created works. Future Outlook India’s participation in the Global Partnership on Artificial Intelligence (GPAI) suggests a move towards aligning with international legal standards, which may influence future legislation to ensure interoperability with global AI governance frameworks. As India refines its AI regulatory approach, businesses should anticipate more comprehensive legislation, including the forthcoming AI law being drafted by MeitY. Key areas likely to see legal development include AI-specific liability regimes, mandatory impact assessments for high-risk AI applications, stricter data localization requirements for AI systems, and enhanced disclosure obligations for AI-driven decision-making. The evolving legal landscape necessitates proactive compliance strategies and ongoing monitoring of regulatory developments for businesses operating in India’s AI sector. As the country balances technological advancement with ethical considerations and public safety, its regulatory framework will play a crucial role in shaping not only its domestic digital landscape but also contributing to the global discourse on responsible AI development and deployment. The Impact of AI on the Legal Industry The surge of AI in various industries, including the legal sector, is transforming work processes. In India, the legal profession, traditionally slower to adopt technological advancements, is also undergoing changes. With courts going paperless and the introduction of e-court websites, filing processes have become streamlined, and access to necessary documents has improved significantly. Online court proceedings have made appearances more convenient for lawyers, reducing procedural hassles. The integration of AI can further enhance efficiency in tasks such as drafting, case analysis, data management, and research. Although AI has not been formally integrated into day-to-day court operations across India, notable cases like Jaswinder Singh vs State of Punjab, CRM-M-22496-2022, have seen AI tools like CHAT-GPT used to aid in legal understanding. AI-powered tools can quickly sift through vast amounts of legal documents, contracts, and case law, identifying relevant information, flagging potential issues, and even predicting case outcomes based on historical data. This not only saves time but also reduces the margin for human error, allowing lawyers to focus on more strategic aspects of their cases. Even AI is transforming legal research. Traditionally, legal research involved manually combing through volumes of statutes, regulations, and case precedents. AI platforms can now swiftly analyse and interpret complex legal texts, providing lawyers with comprehensive insights and relevant case law in a fraction of the time it would take using conventional methods. However, while AI offers myriad benefits, it also raises ethical and regulatory concerns, particularly regarding data privacy, bias in algorithms, and the potential displacement of certain legal jobs. Thus, legal professional must approach AI implementation thoughtfully, ensuring transparency, accountability, and adherence to ethical standards. There are questions that legal professionals and technologists need to ponder upon; Who bears responsibility when an AI system makes a mistake in a legal context? How can we establish clear standards for the ethical design and deployment of AI in law?  These questions underscore the need for proactive regulatory measures. Can AI replace Lawyers? While AI has shown potential in augmenting legal tasks, concerns about its impact on job security persist. Unlike sectors like IT, where AI has led to significant job losses, the legal profession relies heavily on human judgment and interpretation, distinguishing it from AI’s

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