Article 3 | The Bharat Pacific Principles of AI Standardisation

   (1)         Artificial Intelligence (hereinafter referred to as ‘AI’) Standards are established based on their technical, commercial, legal, and ethical imperatives, applicable at post-regulatory, regulatory, and pre-regulatory stages of governance. Therefore, a standard remains flexible and adaptable, retaining its nuanced purpose throughout its application.

   (2)         AI Standards must be adaptable to different contexts, including varied economic, cultural, and regulatory environments.

   (3)         AI Standards may be developed to promote interoperability between different AI systems and encourage collaboration across industries and regions.

   (4)         AI Standards may be designed to be relevant across all industries, or they may have specific considerations for unique sector requirements.

   (5)         AI Standards should be developed to prevent or minimise the creation of market hype cycles, reducing the risk of such cycles across economies.

   (6)         AI Standards should be forward-looking, ensuring the long-term sustainability and scalability of AI technologies.

   (7)         The development of AI Standards must be guided by prioritising credible AI applications and rigorously evaluate claims to avoid hype and ensure practical relevance.

   (8)         AI Standards must be developed with the spirit to involve diverse stakeholders, including researchers, startups, industry experts, policymakers, and civil society, in the standardisation process to ensure transparency and accountability.

   (9)         Recognising the inherent dignity and equal and inalienable rights of all individuals, AI Standards must be developed and implemented in a manner that upholds the principles of justice, equality, and inclusivity.