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​Speaker Bio

​Abhivardhan is the Chairperson & Managing Trustee of the Indian Society of Artificial Intelligence and Law and the Managing Partner of Indic Pacific Legal Research. He is a specialist in international technology law, artificial intelligence governance, Indo-Pacific studies and digital policy. Abhivardhan has authored several books, including "Artificial Intelligence Ethics and International Law " (originally published in 2019), and is a proponent of the Indic approach to AI Ethics. He is also the author of India’s first privately proposed artificial intelligence regulation for India, called the Draft Artificial Intelligence (Development & Regulation) Act, 2023 (AIACT.IN). His work spans across various law, technology, and policy magazines and blogs, and he is a regular speaker on topics related to AI governance, disruptive technology ethics, and public international law.

​Outline/Agenda

​1. Introduction to DPDPA and India's AI Policy Approach

​• Overview of the Digital Personal Data Protection Act (DPDPA)

​• India's evolving stance on AI regulation

​• Key objectives and principles of the DPDPA

​• Importance of understanding DPDPA for AI product managers and developers

​2. Basics of How DPDPA Affects AI from a Data Practices Perspective

​• Data collection, storage, and processing under DPDPA

​• Consent requirements and legitimate uses of personal data

​• Impact on AI and machine learning models

​• Compliance challenges and strategies for AI developers

​• Insights from Indic Pacific's analysis on DPDPA and AI

​3. Sector Focus

​E-commerce

​• Data privacy concerns in customer data handling

​• Case study: Implementation of DPDPA in an e-commerce platform

​Fintech

​• Regulatory compliance in financial data processing

​• Case study: AI-driven financial services and DPDPA compliance

​Healthtech

​• Handling sensitive health data under DPDPA

​• Case study: AI applications in healthcare and data protection

​Legaltech

​• Legal data management and AI tools

​• Case study: Legal AI solutions and adherence to DPDPA

​4. Case Studies for Each Sector (1 each)

​• Detailed analysis of real-world applications

​• Challenges faced and solutions implemented

​• Lessons learned and best practices

​5. Implications for AI developers working across India, US, and EU markets

​6. Further Readings

​• Extensive reading materials and resources

​• Recommended articles, books, and legal documents

​• How these readings can help product managers, developers, and entrepreneurs stay compliant and innovative

​Benefits of the Session

​• Product Managers: Gain a comprehensive understanding of DPDPA and its impact on AI products, ensuring compliance and mitigating legal risks.

​• Developers: Learn about data handling practices and consent management under DPDPA, enhancing the development of compliant AI systems.

​• Entrepreneurs: Understand the regulatory landscape to better navigate the complexities of AI product deployment in India and beyond.

​• Other Stakeholders: Equip with knowledge to foster ethical AI practices and align with global standards, promoting trust and innovation in AI technologies.

​This session aims to provide actionable insights and practical guidance, helping stakeholders effectively manage the legal challenges associated with AI products under the DPDPA.