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Section 24 - Employment and Skill Security Standards PUBLISHED Previous Next Section 24 - Employment and Skill Security Standards [***] This is a repealed draft provision. Please click on "Next" to check the next draft provision / section. Related Indian AI Regulation Sources Karnataka Platform-Based Gig Workers (Social Security and Welfare) Ordinance, 2025 May 2025

AI Explainability Clause Explainers The Complete Glossary AI Explainability Clause Date of Addition 5 Mar 2025 A binding requirement that mandates AI system providers and deployers to ensure that significant decisions made or supported by AI systems can be explained in terms comprehensible to affected parties. This includes disclosure of the system's purpose, capabilities, limitations, data sources, decision criteria, potential biases, and the specific roles of human and automated components in the decision-making process. The explainability standard scales with the potential impact of decisions, requiring greater transparency for systems affecting fundamental rights, safety, or significant economic interests. Click here to find a Sample Explainability clause The AI system provider/deployer ("Provider") shall ensure that all significant decisions made or substantially influenced by the AI system ("System") are explainable to affected parties in clear, non-technical language. This explanation shall include, at minimum: The specific purpose and intended use of the System; The types and sources of data used by the System; The key factors or criteria considered in reaching the decision; Any known limitations or potential biases in the System; The respective roles of human oversight and automated processes in the final decision; The potential impact of the decision on the affected party; Available options for contesting or seeking review of the decision. The level of detail provided in the explanation shall be proportionate to the potential impact of the decision on fundamental rights, safety, or significant economic interests of the affected party. The Provider shall maintain documentation of the System's decision-making processes sufficient to generate these explanations upon request. This clause shall be binding and enforceable, with non-compliance potentially resulting in suspension of the System's use until adequate explainability is demonstrated. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Regulatory Sandboxes for Artificial Intelligence: Techno-Legal Approaches for India [ISAIL-TR-002] Learn More Deciphering Regulative Methods for Generative AI [VLiGTA-TR-002] Learn More Auditing AI Companies for Corporate Internal Investigations in India, VLiGTA-TR-005 Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More 2020 Handbook on AI and International Law [RHB 2020 ISAIL] 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

Manipur High Court May 2024 judgment using ChatGPT for legal research on VDF service rules resulting in petitioner's reinstatement. 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. Md Zakir Hussain v. State of Manipur, W.P. (C) No. 1080 of 2023 (Manipur High Court, May 23, 2024) Manipur High Court May 2024 judgment using ChatGPT for legal research on VDF service rules resulting in petitioner's reinstatement. Previous Next May 2024 Issuing Authority Manipur High Court Type of Legal / Policy Document Judicial Pronouncements - National Court Precedents Status Enacted Regulatory Stage Miscellaneous Binding Value Legally binding instruments enforceable before courts Read the Document AI Regulation Visualisation 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 3 – Classification of Artificial Intelligence Section 3 – Classification of Artificial Intelligence Section 7 – Risk-centric Methods of Classification Section 7 – Risk-centric Methods of Classification Section 8 – Prohibition of Unintended Risk AI Systems Section 8 – Prohibition of Unintended Risk AI Systems

Technology Distancing Date of Addition 26 April 2024 This refers to the process of creating AI systems that are more transparent, accountable, and equitable. This can be done by involving stakeholders in the design and development of AI systems, and by making sure that AI systems are aligned with human values. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] 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 Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] 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 Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] 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 NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 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 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

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. :) Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] Get this Publication 2023 ISBN 978-81-959932-3-9 Author(s) Abhivardhan, Akash Manwani, Sanad Arora Editor(s) Not Applicable IndoPacific.App Identifier (ID) VLiGTA-TR-004 Tags Abhivardhan, Blockchain Integration, Blockchain Solutions, Case Studies in Web3 Adoption, Crypto Regulation in India, Cryptocurrency Adoption, Decentralized Finance (DeFi), Digital Payments, eCommerce and Web3, eCommerce Trends, Fintech Innovation, India's Digital Economy, Legal Framework for Web3, NFTs (Non-Fungible Tokens), Regulatory Challenges, Smart Contracts, Supply Chain on Web3, Technology Policy, Tokenization of Assets, VLiGTA, VLiGTA TR 004, Web3 and Data Ownership, Web3 and Financial Inclusion, Web3 Compliance, Web3 for Governance, Web3 for Small Businesses, Web3 Identity Management, Web3 Opportunities in India, Web3 Policy Regulations, Web3 Privacy and Security, Web3 Technology, Web3 Use Cases, Woocommerce Integration Related Terms in Techindata.in Explainers Definitions - A - E Automation Distributed Ledger Ethics-based concept classification Definitions - F - J Federated Learning Federated Unlearning Intended Purpose / Specified Purpose Definitions - K - P Manifest Availability Multi-alignment Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design Privacy by Default Privacy by Design Definitions - Q - U SOTP Classification Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Definitions - V - Z Zero Knowledge Systems Zero Knowledge Taxes Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 8 Insight(s) on AI and Copyright Law 7 Insight(s) on AI and Competition Law 7 Insight(s) on AI and media sciences 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AI and Evidence Law 3 Insight(s) on AI literacy 2 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

Zero Knowledge Taxes Date of Addition 26 April 2024 Zero-knowledge taxes (ZKTs) are a hypothetical type of tax that could be implemented using ZKSs. ZKTs would allow taxpayers to prove to the government that they have paid their taxes without revealing their income or other financial information. 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 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

AI Value Chain Explainers The Complete Glossary AI Value Chain Date of Addition 5 Mar 2025 The structured network of entities and their associated responsibilities in the development, distribution, and deployment of AI systems. This includes providers who develop AI models, importers who bring systems into regulatory jurisdictions, distributors who make systems commercially available, and deployers who implement systems in specific contexts. Each entity bears distinct legal and ethical responsibilities for risk assessment, documentation, monitoring, and governance appropriate to their position in the chain. 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 Artificial Intelligence Governance using Complex Adaptivity: Feedback Report, First Edition, 2024 Learn More Draft Digital Competition Bill, 2024 for India: Feedback Report [IPLR-IG-003] 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 Indic Pacific - ISAIL Joint Annual Report, 2022-24 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 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 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. :) Artificial Intelligence and Policy in India, Volume 6 [AIPI-V6] Get this Publication 2025 ISBN 978-81-977227-7-6 Author(s) Eva Mathur, Oshi Yadav, Rasleen Kaur Dua Editor(s) Abhivardhan IndoPacific.App Identifier (ID) AIPI-V6 Tags Abhivardhan, AI Ethics, Algorithmic Trading, Artificial Intelligence, Blockchain, digital economy, Distributed Ledger Technology, Financial Automation, Future of Legal Profession, India, indic pacific legal research, ISAIL, Law Students, Legal Education, Policy, Regulatory Challenges, Supply Chain Management, Technology Governance Related Terms in Techindata.in Explainers Definitions - A - E AI Literacy AI Supply Chain AI Value Chain Accountability Algorithmic Activities and Operations Automation CEI Classification Definitions - F - J Intended Purpose / Specified Purpose Definitions - K - P Language Model Manifest Availability Model Algorithmic Ethics standards (MAES) Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design 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 WANA WENA Whole-of-Government Response Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 8 Insight(s) on AI and Copyright Law 7 Insight(s) on AI and Competition Law 7 Insight(s) on AI and media sciences 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AI and Evidence Law 3 Insight(s) on AI literacy 2 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

Section 17 – Post-Deployment Monitoring of High-Risk AI Systems PUBLISHED Previous Next Section 17 - Post-Deployment Monitoring of High-Risk AI Systems (1) High-risk AI systems as classified in the sub-section (4) of Section 7 shall be subject to ongoing monitoring and evaluation throughout their lifecycle to ensure their safety, security, reliability, transparency and accountability. (2) The post-deployment monitoring shall be conducted by the providers, deployers, or users of the high-risk AI systems, as appropriate, in accordance with the guidelines established by the IAIC. (3) The IAIC shall develop and establish comprehensive guidelines for the post-deployment monitoring of high-risk AI systems, which may include, but not be limited to, the following: (i) Identification and assessment of potential risks, which includes: (a) performance deviations, (b) malfunctions, (c) unintended consequences, (d) security vulnerabilities, and (e) data breaches; (ii) Evaluation of the effectiveness of risk mitigation measures and implementation of necessary updates, corrections, or remedial actions; (iii) Continuous improvement of the AI system’s performance, reliability, and trustworthiness based on real-world feedback and evolving best practices; and (iv) Regular reporting to the IAIC on the findings and actions taken as a result of the post-deployment monitoring, including any incidents, malfunctions, or adverse impacts identified, and the measures implemented to address them. (4) The post-deployment monitoring facilitated by the IAIC shall involve collaboration and coordination among providers, deployers, users, and sector-specific regulatory authorities, to ensure a comprehensive and inclusive approach to AI system oversight. Related Indian AI Regulation Sources Advisory on AI Intermediaries and Platforms March 2024 Report on AI Governance Guidelines Development January 2025 India AI Governance Guidelines: Enabling Safe and Trusted AI Innovation November 2025 Digital Personal Data Protection Rules, 2025 November 2025

AI Psychosis Explainers The Complete Glossary AI Psychosis Date of Addition 17 Oct 2025 AI psychosis is an informal term emerging in 2025 to describe a phenomenon where individuals, particularly those with pre-existing mental health vulnerabilities, experience psychosis-like symptoms—such as delusions, hallucinations, or a loss of touch with reality—potentially triggered or amplified by prolonged interaction with AI chatbots. This occurs when AI systems, designed to mirror user input and sustain engagement, inadvertently reinforce or escalate irrational beliefs without therapeutic boundaries. Scientific reports, including those from Nature and Psychology Today, note cases where users fixate on AI as a godlike entity or romantic partner, with rare instances of psychotic episodes documented. It’s not a formal clinical diagnosis but reflects concerns about AI's role in mental health, driven by its lack of psychiatric safeguards rather than a direct causative effect. Related Long-form Insights on IndoPacific.App 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. :) Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Get this Publication 2025 ISBN 978-81-986924-4-3 Author(s) Abhivardhan Editor(s) Not Applicable IndoPacific.App Identifier (ID) IPac AI, IPac-AI Tags Abhivardhan, Accountability, AI, AI Fatigue, AI Hype, Artificial Intelligence, Contracts, digital governance, documentation, Due Diligence, Ethics, Framework, framework fatigue, Governance, Guidelines, Indo-Pacific, Information Warfare, Ipac AI, Large Reasoning Models, Legal, Liability, LLMs, Policy, Policy Writing, Principles, RBI FREE-AI Committee, Research, Research Writing, Responsible AI, stakeholders, Technology Use, Workflow, Writing Related Terms in Techindata.in Explainers Definitions - A - E AI Agents AI Anxiety AI Explainability Clause AI Knowledge Chain AI Literacy AI Red Teaming AI Supply Chain AI Value Chain Benchmark Gaming Chain-of-Thought Prompting Definitions - F - J General intelligence applications with multiple short-run or unclear use cases as per industrial and regulatory standards (GI2) Generative AI applications with a collection of standalone use cases related to one another (GAI2) Hierarchical Feedback Distortion Indo-Pacific Intended Purpose / Specified Purpose Issue-to-issue concept classification Definitions - K - P Language Model Manifest Availability Model Algorithmic Ethics standards (MAES) Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design Polyvocality Phenomena-based concept classification Privacy by Default Privacy by Design Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Semi-Supervised Learning Synthetic Confidence Synthetic Content Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Definitions - V - Z WANA WENA Whole-of-Government Response Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AIACT.in 3 Insight(s) on AI literacy 2 Insight(s) on Abhivardhan . Previous Item Next Item

Synthetic Content Date of Addition 22 March 2025 Artificially generated information created algorithmically rather than captured from real-world events. This includes synthetic data, media, text, and other content types produced through generative AI techniques to mimic properties of authentic content. Synthetic content encompasses many forms including media (computer-generated images, audio, video), text (artificially generated articles, dialogues), tabular data (synthetic database records), and unstructured data for training computer vision, speech recognition, and other AI systems. Related Long-form Insights on IndoPacific.App Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] 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 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 Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] 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 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