AI Regulation in Nepal: Addressing Ethical Concerns and Implementation Challenges

AI Regulation in Nepal: Addressing Ethical Concerns and Policy Gaps

The implementation of artificial intelligence (AI) tools in law enforcement raises significant ethical concerns, particularly in the context of Nepal. The scenario where the National Police utilize AI for issuing search warrants or executing arrests prompts questions about the ethical safeguards that would be in place. Would there be guaranteed human oversight in the decision-making process? These questions are critical as AI becomes increasingly integrated into public safety operations.

The EU AI Act: A Model for Regulation

In August 2024, the European Union’s AI Act established the world’s first comprehensive legislation governing AI. This Act introduced a risk-based approach to AI deployment, categorizing risks into four levels and prohibiting certain high-risk applications, such as real-time facial recognition in public spaces, with exceptions for law enforcement. This regulatory framework, while facing criticism for its loopholes, represents a significant attempt to balance effective AI use with ethical considerations.

As Nepal navigates the complexities of AI regulation, the EU’s experience underscores the need for robust governance structures that prioritize ethical considerations. The recent acquisition of AI software by the Nepal Police, coupled with staff training on its usage, highlights an urgent need for comprehensive policy development.

The Draft AI Policy: A Step Forward but Lacking Specificity

The Nepalese government has issued a draft AI Policy, which outlines several objectives aimed at ensuring that AI development serves the wider society. However, concerns arise regarding the lack of specificity in the implementation details. For instance, the draft emphasizes the importance of a strong data protection framework, yet fails to provide a clear timeline for its establishment.

The draft’s generalized approach is a significant shortcoming, particularly given the complexity of legislating data protection laws. Furthermore, the envisioned governance structure, which includes an AI Regulatory Council led by the Minister for Communications and Information Technology, raises questions about its effectiveness. High-level councils often struggle to maintain engagement and accountability.

The Role of the National AI Center

In contrast, empowering a dedicated institution like the National AI Center may be more beneficial. This center could serve as a guardian of AI legislation, ensuring its proper implementation and oversight. The EU AI Act’s establishment of a European AI Office, equipped with enforcement powers, illustrates the potential benefits of a well-structured regulatory body.

Global Perspectives on AI Governance

Recent discussions at RightsCon 2025 emphasized the necessity of inclusivity, ethics, and accountability in AI governance. Key topics included the role of civil society in AI policy-making and the integration of diverse perspectives to shape responsible AI systems. Such considerations are vital for Nepal as it finalizes its AI draft policy.

Urgent Need for a Holistic Framework

For Nepal to emerge as a viable IT hub, it must accelerate its efforts in AI regulation. A holistic AI framework grounded in strong data and privacy rights is essential. By adopting ethical guidelines and learning from global best practices, Nepal can create an agile and responsible AI system that aligns with human rights.

In conclusion, any deployment of AI tools by state agencies in Nepal should be reconsidered until a robust regulatory framework is established. The journey towards ethical AI governance is complex but necessary for the future of technology in Nepal.

More Insights

AI Regulations: Comparing the EU’s AI Act with Australia’s Approach

Global companies need to navigate the differing AI regulations in the European Union and Australia, with the EU's AI Act setting stringent requirements based on risk levels, while Australia adopts a...

Quebec’s New AI Guidelines for Higher Education

Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and...

AI Literacy: The Compliance Imperative for Businesses

As AI adoption accelerates, regulatory expectations are rising, particularly with the EU's AI Act, which mandates that all staff must be AI literate. This article emphasizes the importance of...

Germany’s Approach to Implementing the AI Act

Germany is moving forward with the implementation of the EU AI Act, designating the Federal Network Agency (BNetzA) as the central authority for monitoring compliance and promoting innovation. The...

Global Call for AI Safety Standards by 2026

World leaders and AI pioneers are calling on the United Nations to implement binding global safeguards for artificial intelligence by 2026. This initiative aims to address the growing concerns...

Governance in the Era of AI and Zero Trust

In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy...

AI Governance Shift: From Regulation to Technical Secretariat

The upcoming governance framework on artificial intelligence in India may introduce a "technical secretariat" to coordinate AI policies across government departments, moving away from the previous...

AI Safety as a Catalyst for Innovation in Global Majority Nations

The commentary discusses the tension between regulating AI for safety and promoting innovation, emphasizing that investments in AI safety and security can foster sustainable development in Global...

ASEAN’s AI Governance: Charting a Distinct Path

ASEAN's approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities...