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applicationgiri The Indic Pacific Glossary The Complete Glossary applicationgiri Date of Addition 5 Jun 2026 The prevalent cultural and entrepreneurial practice in parts of the Indian technology ecosystem of prioritising the rapid development and deployment of customer-facing applications, SaaS platforms, service layers, and “vibe-coded” digital products built atop existing foreign foundational technologies, rather than investing in original, deep scientific research, core hardware, fundamental algorithms, or systems-level breakthroughs. Etymology: Blend of English “application” + Hindi/Urdu suffix -giri (as in netagiri) , denoting the habitual pursuit or professionalized craft of a particular activity — often with a mildly pejorative undertone. Coined in Indian tech discourse circa 2024–2025 to critique an over-emphasis on applied iteration at the expense of foundational innovation. Key Characteristics: Heavy focus on UI/UX, business logic, integration layers, and go-to-market speed. Preference for proven stacks (cloud services, open-source frameworks, foreign AI models) over indigenous chip design, new computing paradigms, materials science, or core AI infrastructure. Cultural valorization of “quick builds,” hackathon-style execution, and revenue visibility over long-horizon, high-risk R&D. Usage Note : While applicationgiri has driven remarkable digital public infrastructure and generated significant economic value, the term is frequently invoked in strategic conversations as a cautionary label — urging India and the broader Indic Pacific region to graduate from being world-class appliers to becoming original creators of frontier technologies, akin to ambitions for an “Indian NVIDIA,” “Indian SpaceX,” or “Indian ASML.” This term was coined by Abhivardhan and @cvkrishnan (Krishnan CV) on X. Related Long-form Insights on IndoPacific.App Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Learn More Artificial Intelligence Governance using Complex Adaptivity: Feedback Report, First Edition, 2024 Learn More Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Learn More Ethical AI Implementation and Integration in Digital Public Infrastructure, IPLR-IG-005 Learn More Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More Previous Term Next Term 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

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. :) Global Customary International Law Index: A Prologue [GLA-TR-00X] Get this Publication 2022 ISBN 978-81-957087-2-7 Author(s) Abhivardhan, Bhavana J Sekhar Editor(s) Not Applicable IndoPacific.App Identifier (ID) GLA-TR-00X Tags Abhivardhan, Customary International Law, Data Science, Ethics, Global Customary International Law Index, Governance, Innovation, International Law, Legal Studies, Policy, Prologue Related Terms in Techindata.in Explainers Definitions - A - E CEI Classification Class-of-Applications-by-Class-of-Application (CbC) approach Ethics-based concept classification Definitions - F - J Framework Fatigue GAE Indo-Pacific International Algorithmic Law Definitions - K - P Multi-alignment Multipolar World Multipolarity Polyvocality Permeable Indigeneity in Policy (PIP) Phenomena-based concept classification Definitions - Q - U Strategic Autonomy Strategic Hedging Technophobia Definitions - V - Z WANA WENA 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

Automation The Indic Pacific Glossary The Complete Glossary Automation Date of Addition 19 Jan 2025 A system designed to execute predefined, rule-based tasks automatically without human intervention. Automations excel at deterministic tasks, delivering reliable and consistent outcomes within clearly programmed parameters. They are fast, efficient, and predictable but lack adaptability to new or unforeseen scenarios. Related Long-form Insights on IndoPacific.App Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] Learn More An Indian Perspective on Special Purpose Acquisition Companies [GLA-TR-001] 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 The Policy Purpose of a Multipolar Agenda for India, First Edition, 2023 Learn More Artificial Intelligence Governance using Complex Adaptivity: Feedback Report, First Edition, 2024 Learn More Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Learn More Artificial Intelligence and Policy in India, Volume 4 [AIPI-V4] Learn More Ethical AI Implementation and Integration in Digital Public Infrastructure, IPLR-IG-005 Learn More Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 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 Previous Term Next Term 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

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. :) The Indic Approach to Artificial Intelligence Policy [IPLR-IG-006] Get this Publication 2024 ISBN 978-81-972625-2-4 Author(s) Abhivardhan Editor(s) Not Applicable IndoPacific.App Identifier (ID) IPLR-IG-006 Tags AI Ethics, AI foresight, AI knowledge management protocols, AI policy indigeneity, AI readiness assessments, AI regulatory sandboxes, AI skills development, AI strategy recommendations, AIACT.IN V3, algorithmic sovereignty, anticipatory sector-specific AI strategies, artificial intelligence policy, Buddhism, context-specific AI governance, India, Indian philosophy, Indian startups, local government, MSMEs, multi-stakeholder engagement, Nyaya, Permeable Indigeneity in Policy (PIP), regional government, responsible AI innovation, Samkhya, statutory bodies, Union Government, Vedanta Related Terms in Techindata.in Explainers Definitions - A - E AI as a Concept AI as an Object AI as a Subject AI as a Third Party Accountability Definitions - F - J Indo-Pacific Intended Purpose / Specified Purpose Jurisprudential Compression Tax International Algorithmic Law Issue-to-issue concept classification Definitions - K - P Language Model Manifest Availability Multi-alignment Model Algorithmic Ethics standards (MAES) Multipolar World Multipolarity Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design Omnipotence Omnipresence Polyvocality Permeable Indigeneity in Policy (PIP) Phenomena-based concept classification Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Synthetic Content Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 34 Insight(s) on AI Ethics 9 Insight(s) on AI Governance 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 8 Insight(s) on AI literacy 5 Insight(s) on AI and Evidence Law 4 Insight(s) on Abhivardhan 2 Insight(s) on AI and Intellectual Property Law 1 Insight(s) on AI and Securities Law 1 Insight(s) on Algorithmic Trading . Previous Item Next Item

Model Algorithmic Ethics standards (MAES) Date of Addition 26 April 2024 A concept proposed for private sector stakeholders, such as start-ups, MSMEs and freelancing professionals, in the AI business, to promote market-friendly AI ethics standards for their AI-based or AI-enabled products & services to create adaptive model standards to check its feasibility whether it could be implemented at various stages. This was discussed in Deciphering Regulative Methods for Generative AI, VLiGTA-TR-002 (2023) and Deciphering Regulative Methods for Generative AI, VLiGTA-TR-002 (2023) . Related Long-form Insights on IndoPacific.App The LegalTechPolicy.com Playbook, First Edition Learn More Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] Learn More Regulatory Sovereignty in India: Indigenizing Competition-Technology Approaches [ISAIL-TR-001] Learn More Regulatory Sandboxes for Artificial Intelligence: Techno-Legal Approaches for India [ISAIL-TR-002] 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 Promoting Economy of Innovation through Explainable AI [VLiGTA-TR-003] Learn More 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 Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Learn More Artificial Intelligence and Policy in India, Volume 4 [AIPI-V4] Learn More Ethical AI Implementation and Integration in Digital Public Infrastructure, IPLR-IG-005 Learn More The Indic Approach to Artificial Intelligence Policy [IPLR-IG-006] Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] Learn More Indic Pacific - ISAIL Joint Annual Report, 2022-24 Learn More The Legal and Ethical Implications of Monosemanticity in LLMs [IPLR-IG-008] Learn More Navigating Risk and Responsibility in AI-Driven Predictive Maintenance for Spacecraft, IPLR-IG-009, First Edition, 2024 Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 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 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 The Global AI Inventorship Handbook, First Edition [RHB-AI-INVENT-001-2025] 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 Artificial Intelligence, Market Power and India in a Multipolar World Learn More Previous Term Next Term The Indic Pacific Glossary 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

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. :) Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Get this Publication 2024 ISBN 978-81-972625-0-0 Author(s) Bhavya Singh, Harinandana V Editor(s) Abhivardhan, Bhavana J Sekhar, Pratejas Tomar IndoPacific.App Identifier (ID) IPLR-IG-007 Tags Abhivardhan, AI regulation, blockchain regulation, compliance costs, cyber security, Data Protection, digital governance, digital infrastructure, Digital Transformation, e-governance, Emerging technologies, ethical governance, Indian Artificial Intelligence Council, Indian Technology Commission, institutional capacity, IoT regulation, MeitY reforms, quantum computing, regulatory burden, technology governance models, Technology Law Tribunal, Technology Policy, technology R&D, transparent governance, whole-of-government approach Related Terms in Techindata.in Explainers Definitions - A - E applicationgiri AI as a Component AI as a Concept AI as an Industry AI as a Juristic Entity AI as a Legal Entity AI as an Object AI as a Subject AI Knowledge Chain AI Literacy AI Supply Chain AI Value Chain AI Workflows AI-based Anthropomorphization Accountability Artificial Intelligence Hype Cycle Automation Definitions - F - J Intended Purpose / Specified Purpose Definitions - K - P Object-Oriented Design Omnipotence Omnipresence Performance Effect Privacy by Default Definitions - Q - U Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 34 Insight(s) on AI Ethics 9 Insight(s) on AI Governance 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 8 Insight(s) on AI literacy 5 Insight(s) on AI and Evidence Law 4 Insight(s) on Abhivardhan 2 Insight(s) on AI and Intellectual Property Law 1 Insight(s) on AI and Securities Law 1 Insight(s) on Algorithmic Trading . Previous Item Next Item

Grounded AI Safety The Indic Pacific Glossary 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 Grounded AI Safety Date of Addition 18 May 2025 Grounded AI Safety is a principle-driven approach adopted by the Indian Society of Artificial Intelligence and Law for The Bharat Pacific Stack , to managing risks in AI systems, rooted in the fundamental understanding that current AI, such as large language models, functions as statistical pattern-matchers without true comprehension or reasoning ability. This approach: Anchors in Observable Limitations : Risk mitigation begins with empirical evidence of AI’s inherent constraints, such as struggles with tasks requiring conceptual understanding—like misinterpreting time differences across regions or failing to follow rules in strategic games—focusing on these measurable shortcomings rather than assumed capabilities. Centers on Human-Driven Risks : The primary dangers arise from human over-reliance on or misuse of these limited systems, such as deploying them in critical areas like scheduling or decision-making where their errors could lead to significant consequences, rather than from AI autonomously causing catastrophic outcomes. Rejects Speculative Existential Narratives : AI safety must exclude unproven predictions of AI-driven doomsday scenarios that lack evidence and inflate AI’s potential, as these narratives misguide priorities and empower those who might exploit fear for profit, influence, or excessive control. Prioritises Evidence-Based Safeguards : Solutions involve systematic testing to identify and address specific failure modes—like errors in visual representations or logical reasoning—paired with transparent improvements, ensuring AI systems are used responsibly within their known boundaries. This definition is inspired by a post by Dr Gary Marcus, on X . Related Long-form Insights on IndoPacific.App NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More Previous Term Next Term

Small Language Models Date of Addition 17 October 2025 Compact neural network architectures typically containing fewer than 10 billion parameters that are optimized for specific domains, tasks, or deployment constraints rather than pursuing general-purpose capabilities. The emergence of SLMs reflects industry recognition that scaling alone does not solve fundamental AI challenges and that efficiency-optimized models better serve enterprise production requirements. Related Long-form Insights on IndoPacific.App Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Learn More Ethical AI Implementation and Integration in Digital Public Infrastructure, IPLR-IG-005 Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More Previous Term Next Term The Indic Pacific Glossary 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

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. :) Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Get this Publication 2022 ISBN 978-81-957087-9-6 Author(s) Abhivardhan, Bhavana J Sekhar, Poulomi Chatterjee Editor(s) Not Applicable IndoPacific.App Identifier (ID) VLiGTA-TR-001 Tags Artificial Intelligence hype, Artificial Intelligence Resilience, competition policy, credibility concerns, D9 group, data privacy, demand, digital economy, economic innovations, ethical innovations., ethics research, Indian Society of Artificial Intelligence and Law, information economy, interconnectedness, perceptions, stocks, technology companies, valuations, Vidhitsa Law Institute of Global and Technology Affairs Related Terms in Techindata.in Explainers Definitions - A - E applicationgiri AI as an Entity AI Doomerism AI Washing AI-based Anthropomorphization Accountability Agent Debt Algorithmic Activities and Operations All-Comprehensive Approach Artificial Intelligence Hype Cycle Automation Class-of-Applications-by-Class-of-Application (CbC) approach 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 a collection of standalone use cases related to one another (GAI2) Intended Purpose / Specified Purpose Information Cosplay Definitions - K - P Klarna Effect Language Model Manifest Availability Model Algorithmic Ethics standards (MAES) Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Parameters Polyvocality Privacy by Default Privacy by Design Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Semi-Supervised Learning Strategic Autonomy Synthetic Content Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Token Economics Definitions - V - Z WANA WENA Whole-of-Government Response Related Articles in Techindata.in Insights 8 Insight(s) on AI and Competition Law 5 Insight(s) on digital competition law . Previous Item Next Item

Issued by the Department of Expenditure in February 2025, this communication determined that AI tools and AI apps in office computers and devices pose risks to the confidentiality of government data and documents. The advisory strictly prohibits employees from using any AI tools or apps in office devices. This represents a complete ban approach similar to ESIC's policy but applied across the Finance Ministry.​ Advisory on Prohibition of AI Tools/Apps in Office Devices Issued by the Department of Expenditure in February 2025, this communication determined that AI tools and AI apps in office computers and devices pose risks to the confidentiality of government data and documents. The advisory strictly prohibits employees from using any AI tools or apps in office devices. This represents a complete ban approach similar to ESIC's policy but applied across the Finance Ministry. 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 2025 Read the Document Issuing Authority Ministry of Finance, Department of Expenditure Type of Legal / Policy Document Executive Instruments - Administrative Decisions 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 The LegalTechPolicy.com Playbook, First Edition Learn More 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 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 29 – Power to Make Rules PUBLISHED Previous Next Section 29 - Power to Make Rules (1) The Central Government may, by notification, make rules to carry out the provisions of this Act. (2) In particular, and without prejudice to the generality of the foregoing power, such rules may provide for all or any of the following matters, namely:— (a) The manner of appointment, qualifications, terms and conditions of service of the Chairperson and Members of the IAIC under sub-section (6) of Section 10; (b) The form, manner, and fee for filing an appeal before the Appellate Tribunal under Section sub-section (2) of Section 26; (c) The procedure to be followed by the Appellate Tribunal while dealing with an appeal under the sub-section (8) of Section 26; (d) Any other matter which is required to be, or may be, prescribed, or in respect of which provision is to be made by rules. (3) Every rule made under this Act shall be laid, as soon as may be after it is made, before each House of Parliament, while it is in session, for a total period of thirty days which may be comprised in one session or in two or more successive sessions, and if, before the expiry of the session immediately following the session or the successive sessions aforesaid, both Houses agree in making any modification in the rule or both Houses agree that the rule should not be made, the rule shall thereafter have effect only in such modified form or be of no effect, as the case may be; so, however, that any such modification or annulment shall be without prejudice to the validity of anything previously done under that rule. Related Indian AI Regulation Sources Information Technology Act, 2000 (IT Act 2000) October 2000

Karnataka's November 2024 GCC policy establishing Centre of Excellence for AI in Bengaluru, AI Skilling Council, ₹100 crore Innovation Fund, and AI-centric curricula partnerships. Karnataka Global Capability Center (GCC) Policy 2024-2029 Karnataka's November 2024 GCC policy establishing Centre of Excellence for AI in Bengaluru, AI Skilling Council, ₹100 crore Innovation Fund, and AI-centric curricula partnerships. 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. November 2024 Read the Document Issuing Authority Government of Karnataka, Department of Electronics, IT, BT and S&T Type of Legal / Policy Document National Strategies Status Enacted Regulatory Stage Pre-regulatory Binding Value Non-binding but institutionally endorsed instruments AIACT. Regulation Visualiser Find more sources Related Long-form Insights on IndoPacific.App The LegalTechPolicy.com Playbook, First Edition Learn More 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 1 – Short Title and Commencement Section 1 – Short Title and Commencement Section 2 – Definitions Section 2 – Definitions Section 14 – Model Standards on Knowledge Management Section 14 – Model Standards on Knowledge Management