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Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) An Indian Perspective on Special Purpose Acquisition Companies [GLA-TR-001] Get this Publication 2022 ISBN 978-81-957087-5-8 Author(s) Bhavana J Sekhar, Manohar Samal, Sathyajith MS Editor(s) Not Applicable IndoPacific.App Identifier (ID) GLA-TR-001 Tags Business, Finance, Governance, Indian Market, Innovation, Investment, Legal Studies, Policy, SPACs, Special Purpose Acquisition Companies Related Terms in Techindata.in Explainers Definitions - A - E Accountability Automation CEI Classification Class-of-Applications-by-Class-of-Application (CbC) approach Definitions - F - J Indo-Pacific Issue-to-issue concept classification Definitions - K - P Multi-alignment Multipolar World Definitions - Q - U Strategic Hedging Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 4 Insight(s) on Government Affairs 1 Insight(s) on India-US Relations 1 Insight(s) on governance 1 Insight(s) on Indic Pacific 1 Insight(s) on India 1 Insight(s) on strategic sectors . Previous Item Next Item

Inference Latency Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com Inference Latency Date of Addition 17 October 2025 The time delay measured in milliseconds between submitting a query to an AI model and receiving the complete generated response, representing a critical performance metric that directly impacts user experience in production applications. Inference latency comprises multiple components including network transmission time, request queuing, prompt processing, iterative token generation, and response formatting, with each element subject to optimization through architectural choices and infrastructure configuration. High latency undermines real-time conversational interfaces, chatbots, and interactive applications where users expect sub-second response times, making it a primary constraint determining which model architectures and deployment strategies are viable for specific use cases regardless of accuracy advantages. Related Long-form Insights on IndoPacific.App Auditing AI Companies for Corporate Internal Investigations in India, VLiGTA-TR-005 Learn More Artificial Intelligence Governance using Complex Adaptivity: Feedback Report, First Edition, 2024 Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More Previous Term Next Term

Mixture-of-Experts (MoE) Date of Addition 17 October 2025 A neural network architecture that divides computational layers into multiple specialized sub-networks (experts) with a gating mechanism that dynamically routes inputs to the most relevant experts, activating only a subset of the model's parameters for any given task. MoE enables models to scale to billions of parameters while maintaining computational efficiency by selectively engaging experts rather than activating the entire network, achieving faster pretraining and inference times compared to dense models of equivalent quality. Originally proposed in 1991 and recently implemented in leading LLMs like Mixtral 8x7B and reportedly GPT-4, MoE architectures address the fundamental tradeoff between model capacity and computational efficiency through task specialization. The gating network learns to assess input characteristics and calculate probability distributions determining which experts receive each token, with training optimizing both expert networks and routing mechanisms simultaneously. Related Long-form Insights on IndoPacific.App Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More Previous Term Next Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

IndiaAI Mission's January 2025 comprehensive report providing AI governance recommendations following public consultation concluding February 2025. Report on AI Governance Guidelines Development IndiaAI Mission's January 2025 comprehensive report providing AI governance recommendations following public consultation concluding February 2025. Previous Next The AIACT.IN India AI Regulation Tracker This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. January 2025 Read the Document Issuing Authority Ministry of Electronics and Information Technology (MeitY) Type of Legal / Policy Document Guidance documents with normative influence Status Proposed Regulatory Stage Pre-regulatory Binding Value Guidance documents with normative influence AIACT. Regulation Visualiser Find more sources Related Long-form Insights on IndoPacific.App Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Artificial Intelligence, Market Power and India in a Multipolar World Learn More Related draft AI Law Provisions of aiact.in Section 10 – Composition and Functions of the Council Section 10 – Composition and Functions of the Council Section 15 – Guidance Principles for AI-related Agreements Section 15 – Guidance Principles for AI-related Agreements Section 16 – Guidance Principles for AI-related Corporate Governance Section 16 – Guidance Principles for AI-related Corporate Governance Section 17 – Post-Deployment Monitoring of High-Risk AI Systems Section 17 – Post-Deployment Monitoring of High-Risk AI Systems

Notified on February 25, 2021, by MeitY and MIB under Section 87 of the IT Act 2000, these rules replaced the Intermediary Guidelines Rules 2011. The rules impose obligations on intermediary platforms including social media, OTT platforms, and digital news media to not allow prohibited information including misinformation, patently false information, and impersonation. The rules established Grievance Officers, Grievance Appellate Committees (GAC), and due diligence requirements. Intermediaries had until May 25, 2021 to comply. The status is in force as binding regulations governing digital intermediaries. Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (IT Rules 2021) Notified on February 25, 2021, by MeitY and MIB under Section 87 of the IT Act 2000, these rules replaced the Intermediary Guidelines Rules 2011. The rules impose obligations on intermediary platforms including social media, OTT platforms, and digital news media to not allow prohibited information including misinformation, patently false information, and impersonation. The rules established Grievance Officers, Grievance Appellate Committees (GAC), and due diligence requirements. Intermediaries had until May 25, 2021 to comply. The status is in force as binding regulations governing digital intermediaries. Previous Next The AIACT.IN India AI Regulation Tracker This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. February 2021 Read the Document Issuing Authority Ministry of Electronics and Information Technology (MeitY) and Ministry of Information and Broadcasting (MIB) Type of Legal / Policy Document Secondary Legislation Status In Force Regulatory Stage Regulatory Binding Value Legally binding instruments enforceable before courts AIACT. Regulation Visualiser Find more sources Related Long-form Insights on IndoPacific.App Artificial Intelligence and Policy in India, Volume 4 [AIPI-V4] Learn More AIACT.IN Version 3 Quick Explainer Learn More Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Reckoning the Viability of Safe Harbour in Technology Law, IPLR-IG-015 Learn More Artificial Intelligence and Policy in India, Volume 6 [AIPI-V6] Learn More Artificial Intelligence, Market Power and India in a Multipolar World Learn More Related draft AI Law Provisions of aiact.in Section 15 – Guidance Principles for AI-related Agreements Section 15 – Guidance Principles for AI-related Agreements Section 16 – Guidance Principles for AI-related Corporate Governance Section 16 – Guidance Principles for AI-related Corporate Governance Section 18 – Third-Party Vulnerability Reporting Section 18 – Third-Party Vulnerability Reporting Section 19 – Incident Reporting and Mitigation Protocols Section 19 – Incident Reporting and Mitigation Protocols Section 20 – Responsible Information Sharing Section 20 – Responsible Information Sharing

Section 11 – Registration & Certification of AI Systems PUBLISHED Previous Next Section 11 – Registration & Certification of AI Systems (1) The IAIC shall establish a voluntary certification scheme for AI systems based on their industry use cases and risk levels, on the basis of the means of classification set forth in Chapter II. The certification scheme shall be designed to promote responsible AI development and deployment. (2) The IAIC shall maintain a National Registry of Artificial Intelligence Use Cases as described in Section 12 to register and track the development and deployment of AI systems across various sectors. The registry shall be used to inform the development and refinement of the certification scheme and to promote transparency and accountability in artificial intelligence governance. (2) The certification scheme shall be based on a set of clear, objective, and risk-proportionate criteria that assess the inherent purpose, technical characteristics, and potential impacts of AI systems. (3) AI systems classified as narrow or medium risk under Section 7 and AI-Pre under sub-section (8) of Section 6 may be exempt from the certification requirement if they meet one or more of the following conditions: (i) The AI system is still in the early stages of development or testing and has not yet achieved technical or economic thresholds for effective standardisation; (ii) The AI system is being developed or deployed in a highly specialized or niche application area where certification may not be feasible or appropriate; or (iii) The AI system is being developed or deployed by start-ups, micro, small & medium enterprises, or research institutions. (4) AI systems that qualify for exemptions under sub-section (3) must establish and maintain incident reporting and response protocols specified in Section 19. Failure to maintain these protocols may result in the revocation of the exemption. (5) Applicability of Section 4 Classification Methods: (i) The conceptual methods of classification outlined in Section 4 are intended for consultative and advisory purposes only. Their application is not mandatory for the National AI Registry of Use Cases under this Section. The IAIC is empowered to: (a) Issue advisories, clarifications, and guidance documents on the interpretation and application of the classification methods outlined in Section 4. (b) Provide sector-specific recommendations for the voluntary use of these classification methods by stakeholders, including developers, regulators, and industry professionals. (c) While these classification methods are not mandatory, stakeholders are encouraged to adopt them on a self-regulatory basis. Voluntary application of these methods can help: (i) Enhance transparency in AI development. (ii) Promote responsible AI deployment across sectors. (iii) Facilitate alignment with ethical standards outlined in the National Artificial Intelligence Ethics Code (NAIEC) under Section 13. (ii) The IAIC may periodically review and update its advisories, clarifications and guidance documents to reflect advancements in AI technologies and emerging best practices, ensuring that stakeholders have access to the latest guidance for applying these conceptual methods. (6) Notwithstanding anything contained in sub-section (5), entities registering high-risk AI systems as defined in the sub-section (4) of Section 7 and those associated with strategic sectors as specified in Section 9 must apply the conceptual classification methods outlined in Section 4. (7) The certification scheme and the methods of classification specified in Chapter II shall undergo periodic review and updating every 12 months to ensure its relevance and effectiveness in response to technological advancements and market developments. The review process shall include meaningful consultation with sector-specific regulators and market stakeholders. Related Indian AI Regulation Sources Principles for Responsible AI (Part 1) February 2021 Operationalizing Principles for Responsible AI (Part 2) August 2021 Fairness Assessment and Rating of Artificial Intelligence Systems (TEC 57050:2023) July 2023 The Ethical Guidelines for Application of AI in Biomedical Research and Healthcare March 2023 Policy Regarding Use of Artificial Intelligence Tools in District Judiciary July 2025 Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) Committee Report August 2025 Strengthening AI Governance Through Techno-Legal Framework (White Paper, Part 2 of Emerging Policy Priorities Series) January 2026

WENA Date of Addition 10 January 2025 An acronym for Western Europe and Northern America, referring to the geographically and economically developed regions that include countries in Western and Central Europe, the United Kingdom, the United States, and Canada. Coined by satirist Karl Sharro, and popularised by Indian journalist Nirmalya Dutta, WENA is used to satirically critique the analytical frameworks often applied to different global regions, particularly in comparison to the Middle East and North Africa (MENA). This term challenges the notion of Western exceptionalism by advocating for the same rigorous scrutiny of social, political, and cultural issues in WENA that is commonly directed towards MENA, promoting a more balanced and equitable examination of diverse regions. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Global Customary International Law Index: A Prologue [GLA-TR-00X] Learn More Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] Learn More India-led Global Governance in the Indo-Pacific: Basis & Approaches [GLA-TR-003] Learn More Regulatory Sandboxes for Artificial Intelligence: Techno-Legal Approaches for India [ISAIL-TR-002] Learn More Global Legalism, Volume 1 Learn More Global Relations and Legal Policy, Volume 1 [GRLP1] Learn More South Asian Review of International Law, Volume 1 Learn More Indian International Law Series, Volume 1 Learn More Global Relations and Legal Policy, Volume 2 Learn More Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Learn More Deciphering Regulative Methods for Generative AI [VLiGTA-TR-002] Learn More The Policy Purpose of a Multipolar Agenda for India, First Edition, 2023 Learn More Artificial Intelligence and Policy in India, Volume 4 [AIPI-V4] Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Artificial Intelligence and Policy in India, Volume 6 [AIPI-V6] Learn More 2020 Handbook on AI and International Law [RHB 2020 ISAIL] Learn More Next Term Previous Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Privacy by Design Date of Addition 26 April 2024 Privacy by Design states that any action a company undertakes that involves processing personal data must be done with data protection and privacy in mind at every step. This was largely proposed in the Article 25 of the General Data Protection Regulation of the European Union. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Learn More Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] Learn More [Version 1] A New Artificial Intelligence Strategy and an Artificial Intelligence (Development & Regulation) Bill, 2023 Learn More [Version 2] Draft Artificial Intelligence (Development & Regulation) Act, 2023 Learn More [AIACT.IN V3] Draft Artificial Intelligence (Development & Regulation) Act, 2023, Version 3 Learn More AIACT.IN Version 3 Quick Explainer Learn More Sections 4-9, AiACT.IN V4 Infographic Explainers Learn More [AIACT.IN V4] Draft Artificial Intelligence (Development & Regulation) Act, 2023, Version 4 Learn More [AIACT.IN V5] Draft Artificial Intelligence (Development & Regulation) Act, 2023, Version 5 Learn More Reckoning the Viability of Safe Harbour in Technology Law, IPLR-IG-015 Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More 2020 Handbook on AI and International Law [RHB 2020 ISAIL] Learn More Previous Term Next Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Zero Knowledge Systems Date of Addition 26 April 2024 Zero-knowledge systems (ZKSs) are cryptographic protocols that allow one party (the prover) to prove to another party (the verifier) that a statement is true, without revealing any information about the statement itself or how it is proven. ZKSs are based on the idea that it is possible to prove the possession of knowledge without revealing the knowledge itself. This was discussed in Reinventing & Regulating Policy Use Cases of Web3 for India, VLiGTA-TR-004 (2023). Related Long-form Insights on IndoPacific.App Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More Next Term Previous Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Section 10-A – Composition and Functions of the Institute PUBLISHED Previous Next Section 10-A – Composition and Functions of the Institute (1) With effect from the date notified by the Central Government, there shall be established the Indian Artificial Intelligence Safety Institute (AISI), a statutory body for the purposes of this Act. (2) The Indian Artificial Intelligence Safety Institute (AISI) shall be established as an autonomous body corporate with perpetual succession, a common seal, and the power to acquire, hold and transfer property, both movable and immovable, and to contract and be contracted, and sue or be sued by its name. (3) The Governing Body of the Indian Artificial Intelligence Safety Institute shall consist of the following members: (i) A Director General of AI Safety, with at least 15 years of experience in artificial intelligence research, who shall serve as the Chief Executive Officer of AISI. (ii) One representative from the Ministry of Electronics and Information Technology (MeitY), not below the rank of Joint Secretary. (iii) One representative from the Ministry of Science and Technology (DST), not below the rank of Joint Secretary. (iv) One representative from the Ministry of Defence, not below the rank of Joint Secretary. (v) One representative from the Ministry of Communications, not below the rank of Joint Secretary. (vi) One representative from NITI Aayog, not below the rank of Joint Secretary. (vii)One representative from the Committee for AI Centers of Excellence (CoEs) as an ex-officio member (viii) One Representative from the Committee for Technical Institutions in Critical AI Research as an ex-officio member (ix) One Representative from the Committee on AI Ethics and Safety as an ex-officio member (4) In addition to the Governing Body, AISI shall include the following ex-officio members: (i) The Principal Scientific Advisor to the Government of India, or their nominee. (ii) One member from the Prime Minister’s Economic Advisory Council . (iii) One representative, being a government official or expert appointed by the Central Government, responsible for coordinating with global AI safety institutes to ensure knowledge exchange and collaboration on emerging risks and best practices. (5) The AISI shall establish specialized committees as deemed necessary for fulfilling its mandate. These committees shall include but are not limited to: (i) Committee for AI Centers of Excellence (CoEs) : This committee shall represent all AI-related Centers of Excellence across India. (ii) Committee for Technical Institutions in Critical AI Research : This committee shall coordinate with technical institutions engaged in critical research on AI systems. (iii) Committee on AI Ethics and Safety : This committee shall guide AISI on ethical principles governing AI systems. (6) The AISI shall undertake the following functions under this Act: (i) Develop protocols for risk assessment, monitoring, and mitigation concerning high-risk AI applications, particularly in strategic sectors such as healthcare, defence, finance, and public administration. (ii) Formulate and establish safety standards for high-risk AI applications for the IAIC. These standards shall be aligned with national security priorities and international norms governing AI safety. (iii) Conduct annual audits of high-risk AI systems deployed across various sectors. The findings from these audits shall be reported to IAIC for further action or policy formulation. (iv) Undertake research initiatives focused on identifying emerging risks associated with new developments in artificial intelligence. Such research shall be conducted in partnership with IAIC, academic institutions, technical bodies and centres of excellence (CoEs), and international organizations dedicated to AI safety. (v) Submit an annual report to the Central Government and IAIC, detailing safety incidents, audit findings, and research advancements. (7) AISI may engage in international partnerships and dialogues, contributing to India’s leadership in responsible AI governance. Related Indian AI Regulation Sources

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Get this Publication 2025 ISBN 978-81-986924-1-2 Author(s) Abhivardhan Editor(s) Not Applicable IndoPacific.App Identifier (ID) Norm_Geo_IAL Tags Abhivardhan, AI adaptability, AI Ethics, AI frameworks, AI governance, AI Hype, AI implementation, AI policy scrutiny, AI Research, AI safety research, AI slop, Artificial Intelligence, automation, binding frameworks, civil society, compute efficiency, cyber geographies, DeepSeek R1, digital age, digital splintering, distributed AI communities, enterprise AI, Ethical AI, Explainable AI, FAAMG, federalized AI, Generative AI, global economy, government regulation, inclusive AI solutions, India Inc., Indian Society of Artificial Intelligence and Law, industry forums, International Algorithmic Law, Jevons Paradox, labor unions, lawyer associations, multidisciplinary AI, multipolar world, non-binding frameworks, normative emergence, normative practices, open source communities, professional associations, public international law, RBI FREE-AI Committee, risk appetite, SEO, social media, SOLAIR Conference, space law, telecommunications law, trade unions, Vienna Convention on Diplomatic Relations, YMANGA Related Terms in Techindata.in Explainers Definitions - A - E AI Doomerism AI Psychosis AI Washing All-Comprehensive Approach App Crappers Artificial Intelligence Hype Cycle Automation CEI Classification Chain-of-Thought Prompting Data-related Definitions in DPDPA Distributed Ledger Ethics-based concept classification Definitions - F - J Framework Fatigue GaryMarcus'd General intelligence applications with multiple short-run or unclear use cases as per industrial and regulatory standards (GI2) General intelligence applications with multiple stable use cases as per relevant industrial and regulatory standards (GI1) Generative AI applications with one standalone use case (GAI1) Generative AI applications with a collection of standalone use cases related to one another (GAI2) Indo-Pacific Intended Purpose / Specified Purpose International Algorithmic Law Issue-to-issue concept classification Information Cosplay Definitions - K - P Klarna Effect Language Model Manifest Availability Mixture-of-Experts (MoE) Multi-alignment Model Algorithmic Ethics standards (MAES) Multipolar World Multipolarity Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Neurosymbolic AI Object-Oriented Design Omnipotence Omnipresence Performance Effect Permeable Indigeneity in Policy (PIP) Phenomena-based concept classification Privacy by Default Privacy by Design Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Strategic Autonomy Strategic Hedging Technical concept classifcation Techno-Legal Measures (DPDP Rules + DPDPA) Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Toolware Transformer Model Definitions - V - Z WANA WENA Whole-of-Government Response Zero Knowledge Systems Related Articles in Techindata.in Insights 8 Insight(s) on AI and Competition Law 8 Insight(s) on AI and Copyright Law 8 Insight(s) on AI and media sciences 8 Insight(s) on AI regulation 4 Insight(s) on Government Affairs 2 Insight(s) on AI and Intellectual Property Law . Previous Item Next Item

SEBI's June 2025 principles-based AI/ML governance framework establishing India's first capital markets AI regulation requiring board-approved AI Governance Frameworks for market infrastructure institutions, intermediaries, and mutual funds; mandates six-pillar compliance (ethics, accountability, transparency, auditability, data privacy, fairness), explainability requirements, human oversight for critical market functions, and extensive documentation for supervisory review; consultation period closed July 11, 2025. Guidelines on Responsible Use of Artificial Intelligence and Machine Learning in Securities Markets SEBI's June 2025 principles-based AI/ML governance framework establishing India's first capital markets AI regulation requiring board-approved AI Governance Frameworks for market infrastructure institutions, intermediaries, and mutual funds; mandates six-pillar compliance (ethics, accountability, transparency, auditability, data privacy, fairness), explainability requirements, human oversight for critical market functions, and extensive documentation for supervisory review; consultation period closed July 11, 2025. Previous Next The AIACT.IN India AI Regulation Tracker This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. June 2025 Read the Document Issuing Authority Securities and Exchange Board of India (SEBI) Type of Legal / Policy Document Guidance documents with normative influence Status Enacted Regulatory Stage Pre-regulatory Binding Value Guidance documents with normative influence AIACT. Regulation Visualiser Find more sources Related Long-form Insights on IndoPacific.App Promoting Economy of Innovation through Explainable AI [VLiGTA-TR-003] Learn More Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More Related draft AI Law Provisions of aiact.in Section 16 – Guidance Principles for AI-related Corporate Governance Section 16 – Guidance Principles for AI-related Corporate Governance Section 20-A – Transparency and Accountability in AI-related Government Initiatives and Public-Private Partnerships Section 20-A – Transparency and Accountability in AI-related Government Initiatives and Public-Private Partnerships Section 21-A – Data Classification and Localisation Requirements Section 21-A – Data Classification and Localisation Requirements