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Governing AI-Driven Agriculture: Policy, Ethics, and the Role of Language in Knowledge Transfer
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Author(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq), Pratiwi Amelia (Universitas Muhammadiyah Bangka Belitung, Indonesia), Senny Luckyardi (Universitas Komputer Indonesia, Indonesia), Firas Mahmood Mustafa (Duhok Polytechnic University, Iraq)and Shuai Li (University of Oulu, Finland)
Copyright: 2025
Pages: 32
Source title:
Navigating Law and Policy in STM Enterprises: Ethical Governance, Regulation, and Innovation Strategy
Source Author(s)/Editor(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq), Jamal Al-Karaki (Zayed University, UAE)and Marwan Omar (Illinois Institute of Technology, USA)
DOI: 10.4018/979-8-3373-4862-9.ch011
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Abstract
Artificial intelligence (AI) is transforming agriculture by enabling precision farming, predictive analytics, and automated decision-making, thereby enhancing productivity and sustainability. However, this rapid technological advancement raises complex policy and ethical challenges, particularly regarding data governance, equitable access, environmental impact, and transparency. This chapter explores the regulatory frameworks shaping AI-driven agricultural practices and emphasizes the critical role of language in facilitating effective knowledge transfer among diverse stakeholders, including farmers, policymakers, and researchers. By analyzing interdisciplinary approaches, the chapter highlights how linguistic clarity and ethical considerations underpin responsible AI governance in agriculture, ensuring innovations serve public interest while mitigating risks. Ultimately, it advocates for comprehensive policies that balance innovation with accountability and inclusivity in the evolving landscape of agri-tech.
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