Ameen Jauhar
Ameen Jauhar is a law and policy professional whose AI work spans ethics, governance and agricultural applications. After graduating from NUJS in 2012, he moved from a national law firm to Vidhi Centre for Legal Policy and completed an MSc in Systematic Reviews for Social Policy and Practice at University College London by 2019. In 2021, he called for an indigenous understanding of AI ethics; in 2024, he coauthored two papers on participatory AI and a CABI article on FAIR data practices in India. His December 2025 essay argues that copyright policy should protect creators’ control over reuse and account for training data’s context, quality and relevance; in January 2026, he coauthored an article proposing content licenses for agricultural AI. As of October 2026, he is Data Governance Lead at CABI and an Associate Research Fellow at IIT Madras’s Centre for Responsible AI, working on FAIR data, licensed content and scientific data for agriculture-related AI.
- Now at
- CABI and IIT Madras
Timeline
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By 2019
From law to policy
After graduating from NUJS in 2012, he moves from a national law firm to Vidhi Centre for Legal Policy. By 2019, he completes an MSc in Systematic Reviews for Social Policy and Practice at University College London.
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2021
AI ethics in India
In 2021, he calls for an indigenous understanding of AI ethics in India and says social-science research can reveal how technology interacts with the people and communities where it is used.
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2024
Principles for participatory AI
In 2024, he coauthors Participatory Approaches in AI Development and Governance: A Principled Approach, which maps stakeholders to stages in an AI system’s life cycle and argues for participatory input in development and deployment.
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2024
AI governance case studies
In 2024, he coauthors Participatory Approaches in AI Development and Governance: Case Studies, which examines participatory methods for facial recognition in law and order and large language models in healthcare.
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October 2024
FAIR data in India
In October 2024, he publishes Unpacking FAIR’s jargon: The Indian example, explaining how FAIR data principles apply to local data practices in India.
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December 2025
Copyright and training data
In December 2025, he argues that copyright policy should protect creators’ control over how works are reused and account for the context, quality and relevance of training data.
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January 2026
Licensing for agricultural AI
In January 2026, he coauthors an IFPRI/CABI article proposing content licensing agreements to connect content producers with AI developers in digital agriculture.
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As of October 2026
Data governance at CABI
He is a law and policy professional, serves as Data Governance Lead at CABI, and is an Associate Research Fellow at IIT Madras’s Centre for Responsible AI. He works on FAIR data, licensed content and scientific data for agricultural AI, and on responsible and ethical AI in these fields.
Career
- NowCABIData Governance Lead
- NowIIT MadrasAssociate Research Fellow
Education
- 2012West Bengal National University of Juridical Sciences
- University College LondonMSc in Systematic Reviews for Social Policy and Practice
Sources and credits
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- First Person Accounts: Ameen Jauhar on an MSc from University College London
- ‘At discussions on AI ethics, you’d be hard-pressed to find anyone with a background in anthropology or sociology’
- Participatory Approaches in AI Development and Governance: A Principled Approach
- Participatory Approaches in AI Development and Governance: Case Studies
- Unpacking FAIR’s jargon: The Indian example
- AI and copyright: Need for a nuanced approach
- AI, copyright, and content licensing in digital agriculture
- Ameen Jauhar - CABI.org
- AI, copyright, and content licensing in digital agriculture – CABI Blog
- Ameen Jauhar | Centre for Responsible AI