Artificial intelligence transparency statement

We use artificial intelligence (AI) in carefully managed and transparent ways to support our role as an independent carbon abatement accelerator.

We use AI to improve the quality, efficiency and integrity of our regulatory and operational functions. AI helps us analyse data, detect anomalies, and streamline internal processes. All decisions that affect individuals, organisations or scheme eligibility are made by BidCarbon personnel, not AI.

We review this statement at least once a year, updating it as our AI use matures.

We use artificial intelligence (AI) in carefully managed and transparent ways to support our role as an independent carbon abatement accelerator.

We use AI to improve the quality, efficiency and integrity of our verification and governance functions. AI helps us analyse data, detect anomalies, and streamline internal processes. All decisions that affect individuals, organisations or scheme eligibility are made by BidCarbon personnel, not AI.

We are using, developing and considering AI in the following usage patterns and domains.

Usage patterns

Workplace productivity

We allow our staff to use AI in their work with the objective of enhancing productivity and service delivery. This includes enterprise AI deployed in our internal ICT environment, such as Microsoft 365 Copilot.

Our staff use AI to:

● assist in the creation of organisational documents

● assist with research and analysis

● summarise data across multiple sources

● interrogate, analyse and obtain insights from datasets

● answer questions from staff regarding workplace policies, procedures and processes

● assist in the analysis, creation or summarisation of documents, emails or other content

● create and debug code used in data analysis, management and processing

● assist in the creation of meeting minutes or interview transcripts

● search information repositories and retrieve documents, information or data.

Image processing

We're developing AI assisted image analysis to support compliance reviews, subject to human review and confirmation.

Domains

Service delivery

We're investigating the use of AI to support our staff to:

● assist with routine administrative tasks and information analysis

● improve collaboration and documentation practices

● support efficient drafting of standard content, subject to human review.

Compliance and fraud detection

We're developing:

● AI tools to spot unusual patterns that may indicate non-compliance or fraud

● AI under our BidCarbon Standard Scheme to support compliance monitoring, including identifying potentially non-compliant claims or data discrepancies for human review.

Corporate and enabling

We are investigating the use of AI to support corporate functions, including People Operations, finance, media and communications, and IT to improve operational efficiency.

How we use AI

At BidCarbon, we are committed to transparency regarding our use of AI. AI supports our work by providing information and insights, but it does not make verification or governance decisions. Any AI-generated advice that impacts people, participating organisations, or eligibility under our standards is reviewed and approved by trained BidCarbon team members.

We will not deploy any public-facing AI tool without:

● clear user disclosure,

● a defined human-in-the-loop escalation path,

● established accuracy safeguards, and

● appropriate accessibility considerations.

Transparency

At BidCarbon, we assess and monitor all AI systems to ensure they are safe, transparent, and fit for our carbon abatement verification and standard-setting responsibilities. Our risk and assurance framework includes:

● Pre-deployment assessment – completing a risk-based AI suitability assessment before any development or deployment

● Testing and evaluation – assessing AI systems against defined risk controls and thresholds prior to use

● Ongoing monitoring – continuously monitoring deployed AI systems, with periodic reassessments or triggered reviews following model updates, new data sources, or incidents

● Proportional safeguards – applying stronger safeguards for higher-risk use cases

● Enforcement mechanisms – pausing or discontinuing use if risk thresholds, accuracy metrics, or safeguards are not met.

We maintain an AI Use Case Register documenting each use case and its corresponding risk-based AI suitability assessment. The register is updated upon approval of new use cases or material changes to existing ones.

This framework reflects our commitment to responsible AI principles, with enhanced oversight for higher-risk or higher-impact AI applications.

How we assess and manage risks

At BidCarbon, we are committed to the ethical use of artificial intelligence. Our AI systems are developed and deployed with the following principles at their core:

● Fairness – avoiding unjust bias

● Accountability – clear ownership and oversight

● Privacy and protection – safeguarding personal and sensitive information

● Security – protecting against unauthorised access or misuse

● Reliability – consistent and dependable performance

● Safety – minimising risk of harm

● Contestability – enabling challenge and redress

● Transparency – open about how and why AI is used

We review our practices regularly to ensure they meet these ethical standards and do not introduce bias or discrimination.

To protect the public and scheme integrity, we will not:

● automate compliance, verification or eligibility decisions without human review and approval

● train or prompt AI systems with sensitive or personal information unless expressly assessed and approved (for example, through a privacy impact assessment and security review)

● generate or issue formal scheme determinations or notices without human validation and sign-off

● use generative AI to produce forecasting or analytical outputs without human validation, provenance controls, and audit capture.

Our commitment to ethical AI

We build staff AI capability through a community of practice, supporting knowledge sharing and safe adoption, and through targeted training such as prompt engineering skills aligned to our verification and governance purpose. These activities ensure staff can use AI confidently, responsibly, effectively and in ways that strengthen our operational and governance functions.

All BidCarbon personnel are required to complete mandatory training on the responsible use of AI in line with our internal AI policy and ethical principles. Staff with access to organisation-approved enterprise-wide AI systems such as Copilot are required to complete additional training and to read and accept updated ICT conditions of use. Additional specialist training is provided for staff who procure, develop or manage AI systems.

Staff capability and training

We adopt the Organisation for Economic Co-operation and Development (OECD) definition of artificial intelligence:

An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment.

Definition of AI

More information

For questions about how we use AI, please contact the Technical Governance Committee through Online Messages. You must register for an Online Services account to access online messages.