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- AIACT.IN | India's First Privately Proposed AI Bill | Indic Pacific | IPLR
AIACT.IN is India's first privately proposed artificial intelligence regulation authored by Abhivardhan. AiACT.IN AiACT.IN India's first privately proposed Artificial Intelligence regulation, authored by Abhivardhan. Version 5.0, April 3, 2025 [Latest] Terms of Use The contents of the AIACT.IN, i.e., the Draft Artificial Intelligence (Development & Regulation) Bill, 2023 (also may be referred to as the Draft Artificial Intelligence (Development & Regulation) Act, 2023) and the New Artificial Intelligence Strategy for India, 2023 are proposals submitted to the Ministry of Electronics & Information Technology, Government of India. This is therefore provided as a free resource for educational and informational purposes in public interest only. By using the contents of "AIACT.IN" developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the contents for personal and non-commercial purposes only. If you use any content from the page of this website in your own work, you must properly attribute the source. This means including a link to this website and citing the name of the page. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Abhivardhan, 'AIACT.IN' (Indic Pacific Legal Research, November 7, 2023) The contents of AIACT.IN are the copyrighted property of Indic Pacific Legal Research LLP. You are not authorised to reproduce, distribute, or modify the contents without the express written permission of a representative of Indic Pacific Legal Research. Any critical suggestions or reviews to the contents of "AIACT.IN" are not counted as reproduction, provided that a proper attribution of the contents of "AIACT.IN" to Indic Pacific Legal Research is given. The Firm makes no representations or warranties about the accuracy or completeness of the contents of "AIACT.IN". The Firm disclaims all liability for any errors or omissions in the contents of "AIACT.IN". You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the contents of "AIACT.IN". If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com Send us Feedback All Versions of AiACT.IN AiACT.IN Explainers Download Current Version AI & Law 101 India AI Regulation Landscape 101 AIACT.IN Visualiser Terms of Use Our Founder, and Managing Partner, Abhivardhan had drafted this private AI bill, with the intent to educate the Indian AI ecosystem about the impact of AI regulation, in a larger Indian context, wherein the Indian AI ecosystem is still building itself up. AIACT.IN, India's inaugural privately proposed artificial intelligence regulation bill, garnered significant appreciation across multiple sectors of India's technology and policy ecosystem. The initiative received its strongest endorsement from the technology and business communities, with stakeholders recognizing its educational value in fostering democratic discourse around AI standardization and regulation in India's developing AI landscape. The bill's foundational support came from Sanjay Notani, former President of the Advisory Council of the Indian Society of Artificial Intelligence and Law, who had encouraged Abhivardhan to draft comprehensive AI regulation since 2021, ultimately catalyzing the bill's first version in November 2023. In the August 2024 International Law and Technology Conference organised by the Commonwealth Legal Education Association, Justice M Sundar , Judge, High Court of Madras (as of August 2024) had also appreciated this effort. India AI Regulation Landscape 101 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. This sankey diagram (created as of October 2025) below gives a picture of India's AI Governance Landscape since 2000 until now. Check the Diagram Title Month and Year Issuing Authority Raj Shamani v. John Doe & Ors., CS(COMM) 1233/2025, Delhi High Court, Order dated November 21, 2025 November 2025 Delhi High Court Digital Personal Data Protection Rules, 2025 November 2025 Ministry of Electronics and Information Technology (MeitY), Government of India India AI Governance Guidelines: Enabling Safe and Trusted AI Innovation November 2025 Ministry of Electronics and Information Technology (MeitY), Government of India Circular on Use of Open/External Artificial Intelligence (AI) Tools for Official Work, File No. Z-11/12/1/Misc.Matter/2024-MSU October 2025 Employees' State Insurance Corporation (ESIC), Ministry of Labour and Employment Hrithik Roshan v. Ashok Kumar/John Doe & Ors., CS(COMM) 1107/2025, Delhi High Court, Order dated October 15, 2025 October 2025 Delhi High Court KMG Wires Private Limited vs. National Faceless Assessment Centre & Others, Writ Petition (L) No. 24366 of 2025, Bombay High Court, Order dated October 6, 2025 October 2025 Bombay High Court Suniel V Shetty v. John Doe & Ashok Kumar, COM IP Suit (L) No. 32130/2025, Bombay High Court, Order dated October 10, 2025 October 2025 Bombay High Court Sudhir Chaudhary v. Meta Platforms Inc & Ors., CS(COMM) 1089/2025, Delhi High Court, Order dated October 10, 2025 October 2025 Delhi High Court Asha Bhosle v. Mayk Inc & Ors., COM IPR Suit (L) No. 30262/2025, Bombay High Court, Order dated September 29, 2025 September 2025 Bombay High Court Akkineni Nagarjuna v. www.bfxxx.org & Ors., CS(COMM) 1023/2025, Delhi High Court, Order dated September 25, 2025 September 2025 Delhi High Court Aishwarya Rai Bachchan v. Aishwaryaworld.com & Ors., CS(COMM) 956/2025, Delhi High Court, Order dated September 9, 2025 September 2025 Delhi High Court Page 1 of 5 Access All Sections of the Draft Bill. Section 1 – Short Title and Commencement Section 2 – Definitions Section 3 – Classification of Artificial Intelligence Section 4 – Conceptual Methods of Classification Section 5 – Technical Methods of Classification Section 6 – Commercial Methods of Classification Section 7 – Risk-centric Methods of Classification Section 8 – Prohibition of Unintended Risk AI Systems Section 9 – High-Risk AI Systems in Strategic Sectors Section 10 – Composition and Functions of the Council Section 10-A – Composition and Functions of the Institute Section 11 – Registration & Certification of AI Systems Section 12 – National Registry of Artificial Intelligence Use Cases Section 13 – National Artificial Intelligence Ethics Code Section 14 – Model Standards on Knowledge Management Section 15 – Guidance Principles for AI-related Agreements Section 16 – Guidance Principles for AI-related Corporate Governance Section 17 – Post-Deployment Monitoring of High-Risk AI Systems Section 18 – Third-Party Vulnerability Reporting Section 19 – Incident Reporting and Mitigation Protocols Section 20 – Responsible Information Sharing Section 20-A – Transparency and Accountability in AI-related Government Initiatives and Public-Private Partnerships Section 21 – Intellectual Property Protections Section 21-A – Data Classification and Localisation Requirements Section 22 – Shared Sector-Neutral & Sector-Specific Standards Section 23 – Content Provenance and Identification Section 24 - Employment and Skill Security Standards Section 24-A – Right to Artificial Intelligence Literacy Section 25 – Insurance Policy for AI Technologies Section 26 – Appeal to Appellate Tribunal Section 27 – Orders passed by Appellate Tribunal to be executable as decree Section 28 – Alternate Dispute Resolution Section 29 – Power to Make Rules Section 30 – Power to Make Regulations Section 31 – Protection of Action Taken in Good Faith Section 32 – Offenses and Penalties Section 33 – Savings Clause Section 34 – Power to Remove Difficulties Section 35 – Amendment of [Other Legislation]
- Prompt Leaking | Glossary of Terms | Indic Pacific | IPLR
Prompt Leaking Date of Addition 17 October 2025 An attack vector exploiting prompt injection vulnerabilities where adversaries craft inputs designed to extract proprietary system instructions, hidden prompts, or confidential configuration details embedded in AI applications. This security risk enables competitors or malicious actors to reverse-engineer commercial prompt engineering intellectual property, reveal safety guardrails for subsequent bypass attempts, or expose sensitive business logic encoded in system messages. Prompt leaking represents a unique challenge for LLM-based products where competitive differentiation often relies on carefully crafted instruction sets that cannot be technically protected through traditional access control mechanisms since the model must process both system and user inputs jointly. Related Long-form Insights on IndoPacific.App NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 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
- Permeable Indigeneity in Policy (PIP) | Glossary of Terms | Indic Pacific | IPLR
Permeable Indigeneity in Policy (PIP) Date of Addition 26 April 2024 This concept, simply means, in proposition [...] that whatsoever legal and policy changes happen, they must be reflective, and largely circumscribing of the policy realities of the country. PIP cannot be a set of predetermined cases of indigeneity in a puritan or reductionist fashion, because in both of such cases, the nuance of being manifestly unique from the very churning of policy analysis, deconstruction & understanding, is irrevocably (and maybe in some cases, not irrevocably) lost. This was proposed in Regulatory Sovereignty in India: Indigenizing Competition- Technology Approaches, ISAIL-TR-001 (2021) . Related Long-form Insights on IndoPacific.App Global Customary International Law Index: A Prologue [GLA-TR-00X] Learn More India-led Global Governance in the Indo-Pacific: Basis & Approaches [GLA-TR-003] 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 The Policy Purpose of a Multipolar Agenda for India, First Edition, 2023 Learn More The Indic Approach to Artificial Intelligence Policy [IPLR-IG-006] Learn More Reckoning the Viability of Safe Harbour in Technology Law, IPLR-IG-015 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
- Anthropomorphism-based concept classification | Glossary of Terms | Indic Pacific | IPLR
Anthropomorphism-based concept classification Explainers The Complete Glossary Anthropomorphism-based concept classification Date of Addition 26 Apr 2024 This is one of the sub-categorised methods to classify Artificial Intelligence as a Concept, with a perspective of how AI systems could lead to human attribution and enculturation. This idea was proposed in Artificial Intelligence Ethics and International Law (originally published in 2019). Related Long-form Insights on IndoPacific.App Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More The Global AI Inventorship Handbook, First Edition [RHB-AI-INVENT-001-2025] Learn More Artificial Intelligence, Market Power and India in a Multipolar World 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
- AI as a Legal Entity | Glossary of Terms | Indic Pacific | IPLR
AI as a Legal Entity Explainers The Complete Glossary AI as a Legal Entity Date of Addition 26 Apr 2024 It means Artificial Intelligence may be recognised in a statutory sense, or a regulatory sense, a legal entity, with its own caveats, features and limits as prescribed by law. This idea was proposed in the 2020 Handbook on AI and International Law (2021). Related Long-form Insights on IndoPacific.App 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 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 The Global AI Inventorship Handbook, First Edition [RHB-AI-INVENT-001-2025] Learn More Artificial Intelligence, Market Power and India in a Multipolar World 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
- Model Algorithmic Ethics standards (MAES) | Glossary of Terms | Indic Pacific | IPLR
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 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 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
- AI as a Juristic Entity | Glossary of Terms | Indic Pacific | IPLR
AI as a Juristic Entity Explainers The Complete Glossary AI as a Juristic Entity Date of Addition 26 Apr 2024 It means Artificial Intelligence may be recognised in a specific context, space, or any other frame of reference, such as time, through the legal and administrative machineries of a legitimate government. This idea was proposed in the 2020 Handbook on AI and International Law (2021). Even in the Section 2 (13) (g) of the Digital Personal Data Protection Act, 2023, the definition of "every artificial juristic person" is available, which means providing specific juristic recognition to artificial intelligence in a personalised sense. Related Long-form Insights on IndoPacific.App 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 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
- Performance Effect | Glossary of Terms | Indic Pacific | IPLR
Performance Effect Date of Addition 22 March 2025 A phenomenon identified in compute efficiency research where, over time, a given level of compute investment enables increased model performance due to improvements in algorithms, hardware, and training methods. According to the Arxiv paper "Increased Compute Efficiency and the Diffusion of AI Capabilities," there are two key effects of improving compute efficiency: (1) the performance effect, where technical institutions and AI companies achieve better results with the same compute investment over time; and (2) the access effect, where achieving a specific performance level requires less compute investment as time passes. Together, these effects mean that while AI capabilities become more accessible to smaller players over time, large compute investors can maintain their leading position by pioneering new capabilities. Related Long-form Insights on IndoPacific.App The Policy Purpose of a Multipolar Agenda for India, First Edition, 2023 Learn More Draft Digital Competition Bill, 2024 for India: Feedback Report [IPLR-IG-003] Learn More Reimaging and Restructuring MeiTY for India [IPLR-IG-007] 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 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
- Privacy by Default | Glossary of Terms | Indic Pacific | IPLR
Privacy by Default Date of Addition 26 April 2024 Privacy by Default means that once a product or service has been released to the public, the strictest privacy settings should apply by default, without any manual input from the end user. 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 Reimaging and Restructuring MeiTY for India [IPLR-IG-007] 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
- All-Comprehensive Approach | Glossary of Terms | Indic Pacific | IPLR
All-Comprehensive Approach Explainers The Complete Glossary All-Comprehensive Approach Date of Addition 26 Apr 2024 This means a system having an approach which covers every aspect of its purpose, risks and impact, with broad coverage. Related Long-form Insights on IndoPacific.App Regulatory Sovereignty in India: Indigenizing Competition-Technology Approaches [ISAIL-TR-001] Learn More Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Learn More The Policy Purpose of a Multipolar Agenda for India, First Edition, 2023 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
- Adversarial Machine Learning | Glossary of Terms | Indic Pacific | IPLR
Adversarial Machine Learning Explainers The Complete Glossary Adversarial Machine Learning Date of Addition 22 Mar 2025 A technique used to study machine learning model vulnerabilities by creating deceptive inputs designed to cause AI systems to malfunction or make incorrect predictions. It involves both offensive mechanisms (creating adversarial examples) and defensive approaches (building more robust models). Adversarial machine learning operates by manipulating input data in ways imperceptible to humans but that cause dramatic changes in model outputs. Defensemple, adding carefully calculated noise to an image of a panda can make a sophisticated image classifier confidently misidentify it as a gibbon. Defence mechanisms include adversarial training (exposing models to adversarial examples during training) and ensemble methods that combine multiple models to improve robustness against attacks. Related Long-form Insights on IndoPacific.App NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 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
- Mixture-of-Experts (MoE) | Glossary of Terms | Indic Pacific | IPLR
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

