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Stephen Clarke

Stephen Clarke

Stephen is currently an independent Information/Data Management and AI Consultant.

 

Originally from the UK, Stephen has worked in senior Information & Data Management roles across the Australia/NZ public sector for the last 20 years. His most recent role was as Chief Archivist, after moving on from his role as Chief Data Officer at the NZ Transport Agency. Stephen has undertaken similar roles in IRD, DIA, Office of the Auditor General, the Office of the Ombudsman and Transpower amongst others. His career has been forged in the Public Sector, and applied in the financial, regulatory and utilities environments.

 

Internationally, Stephen is known as a standards expert, having developed standards for information management for Australia and New Zealand, and internationally for ISO. As an anthropologist Stephen understands human systems, and as a technical expert he understands information systems. Using technology to connect these two systems to get the right information, to the right people at the right time, ethically is his professional goal.

 

As an information management thought-leader, specialising in strategy, policy and systems design, his mission is to connect people with content in innovative ways. His underlying philosophy is to always work with the end-user customer in mind, implementing design methodologies which have value delivery at their heart, to bring people together, building multi-disciplinary teams, that use their professional diversity to get great outcomes that are user-tested by design.

 

His most recent professional interest has been in driving information and data management strategy and digital service design, using metadata modelling and ontology development to support cloud data migrations, data governance and compliance, using AI/ML and Data Lake toolsets, with a particular focus on unstructured data.

 

https://www.linkedin.com/in/steffclarke/

 

See his articles below:

Stephen Clare The Role of Records and Information Management

The Convergence of AI Governance and Information Management

Introduction: Reframing Ethical AI Through Records and Information Management As artificial intelligence (AI) technologies have proliferated across both the public and private sectors, ethical governance has emerged as a central concern. Organisations and regulators scramble to develop responsible AI principles, accountability frameworks, and compliance protocols. However, many of these challenges are not new. Records and Information Management (RIM) professionals have long confronted the same ethical questions, now reframed through an AI lens, i.e. how to ensure data quality, maintain transparency, protect privacy, and uphold public trust. This article argues that ethical AI governance can and should draw from the established disciplines of RIM. Far from being sidelined, records professionals hold the key to managing risks and realising the benefits of AI. Many AI principles reflect longstanding archival values, and tools such as ontology, and metadata management, offer practical pathways to accountability, explainability, and compliance.
  • Stephen Clarke
vault

Ontology or Entropy? The strategic shift in the Information asset economy

  • Stephen Clarke
AI Ontology

Part 2 of 2: What is the Value of Ontology for AI?

  • Stephen Clarke
AI Ontology

Part 1 of 2: What is the Value of Ontology for AI?

  • Stephen Clarke

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