Understand
Identify relevant sources, terminology, applicability, risk and context.


WHY REGULATED AI
Organisations have traditionally assessed technology primarily against the requirements of their sector, jurisdiction and intended use. AI adds another dimension. AI-specific laws, regulatory expectations, standards and governance practices increasingly need to be considered alongside existing domain requirements.
The question is therefore no longer only whether a system falls within a particular domain requirement. Practitioners also need to understand how the use of AI affects governance, risk, transparency, accountability, data, human oversight and lifecycle controls.
RegulatedAI.in is designed to help practitioners navigate these dimensions together.
Effective AI governance requires several areas to be connected rather than considered separately.
Authoritative sources establish the relevant requirements and expectations. Applicability determines what is relevant to the particular AI use. Risk, impact and context inform how those requirements and expectations should be addressed. Governance and lifecycle controls put them into practice. Evidence supports review, evaluation and assurance.
RegulatedAI.in brings these elements together as a practitioner resource. It helps users navigate authoritative sources, understand applicability, connect governance expectations to lifecycle controls, identify relevant evidence and support structured review.
Identify relevant sources, terminology, applicability, risk and context.
Connect governance expectations with lifecycle activities, controls, responsibilities and evidence.
Use evidence to support structured review, reassessment and assurance.
Use the route that best matches what you need to do.
Understand what RegulatedAI.in provides and how it can help you navigate AI governance and regulatory expectations.
Understand RegulatedAI.inSee how understanding, implementation and assurance connect.
Explore the Practitioner JourneyFind authoritative sources and understand their role, status and relevance.
Explore the Regulatory LibrarySee how AI governance considerations can be addressed across the lifecycle.
Explore Lifecycle ControlsUse the Ask a Question route for a specific AI governance question, a question about your Starter results, or help navigating relevant lifecycle controls and authoritative sources.
Ask a QuestionUse 20 practical questions to identify areas to address, strengthen, assess or confirm.
Start the Lifecycle StarterUse the Ask a Question route for a specific AI governance question, a question about your Starter results, or help navigating relevant lifecycle controls and authoritative sources.
Ask a Question