Smart Species develops the standards that make transparency claims verifiable, comparable, and interoperable — across AI systems, supply chains, and borders. Because if it can't be verified, it can't scale. And if it can't scale, it can't matter.
What if climate action, AI governance, and digital rights all ran on the same shared grammar? Operational transparency as the infrastructure layer that lets good work finally add up.
The ISO Preliminary Work Item proposing a standard for notice receipts and consent records — the evidence layer that makes clean AI distinguishable from dirty AI.
AI systems are banking human knowledge without consent. Notice receipts are the mechanism that makes AI data governance verifiable and enforceable — not just claimed.
The Interoperability Expert Group proposes normative profiles bridging Convention 108+ treaty obligations to ISO/IEC 29100, 29184, and TS 27560 for machine-verifiable cross-border governance.
A New Work Item Proposal before ISO/IEC JTC 1/SC 27/WG5 to standardize how online privacy modes carry machine-readable authority context: legal basis, rights-access routes, derogations, delegations.
Smart Species Ltd was founded in 2009 as the vehicle for developing and advancing digital transparency infrastructure. The name reflects the core thesis: the defining characteristic of human intelligence is our ability to coordinate — to combine efforts across individuals, organizations, and generations. That potential is only realised when we share a grammar for what is true, who is accountable, and what evidence backs it.
Today that work lives in ISO/IEC standards committees, Council of Europe liaison processes, and the Interoperability Expert Group — building the normative infrastructure that makes digital transparency more than an assertion.
Mark Lizar is the founder of the Transparency Lab and the Interoperability Expert Group (C225), and a Canadian ISO/IEC JTC 1/SC 27/WG5 Mirror Committee member. He proposes and develops international standards for notice, consent, and digital transparency — work anchored in the conviction that transparency must be evidence-based and inspectable, not merely claimed.