1. Introduction

Dai Evans - Chartered Architectural Technologist, (hereinafter referred to as "the Practice") is committed to the responsible, ethical, and transparent use of Artificial Intelligence (AI) technologies within the context of architectural design, technology, and consultancy services. This policy sets out the guiding principles and operational procedures for using AI in accordance with relevant laws, industry standards, and best practices. The Practice aims to ensure that AI tools are used to enhance our services, improve efficiency, and maintain the highest standards of professional ethics and quality.

2. Purpose

This policy is designed to:

• Define the scope and permissible use of AI in architectural technology practices.
• Ensure compliance with relevant UK legislation, including data protection laws such as GDPR.
• Uphold the core values of professionalism, integrity, and accountability in the use of AI.
• Promote transparency in the application and outcomes of AI-driven processes.
• Protect client confidentiality and data security.
• Address the impact of AI on the workforce and the role of architectural technologists.

3. Scope of AI Use

AI tools and systems may be used by the Practice in the following areas:

• Design Assistance: AI-driven generative design tools for creating building layouts, structural systems, and material efficiency options.
• Building Performance Analysis: AI applications for energy modelling, environmental performance simulations, and sustainability assessments.
• Project Management: AI for project scheduling, cost estimation, risk management, and quality control.
• Automation of Repetitive Tasks: AI systems that assist with tasks such as drafting, document management, and compliance checks.
• Client Interaction: AI chatbots or systems used for client communication, project queries, and feedback collection.

4. Ethical Guidelines

In accordance with the UK’s ethical standards for the architectural profession, AI technologies must be implemented with the following considerations:

• Transparency: All AI-driven tools and processes should be clearly explained to clients and stakeholders. The outcomes of AI applications should be interpretable, ensuring that decisions are understandable and justifiable.
• Bias Mitigation: Efforts should be made to ensure that AI tools do not perpetuate biases related to race, gender, disability, or other characteristics. Data used to train AI models should be diverse and representative of the populations and communities we serve.
• Human Oversight: AI should be seen as a support tool rather than a replacement for human judgment. All AI-generated outputs must be reviewed by qualified architectural technologists before final approval or implementation.
• Accountability: The Practice accepts full responsibility for decisions and outcomes derived from AI tools. Should AI systems fail or produce incorrect results, the Practice will take immediate corrective action.

5. Data Protection and Privacy

The Practice acknowledges the importance of protecting client and project data when using AI. All AI systems employed must comply with the following:

• General Data Protection Regulation (GDPR): AI systems will not collect, process, or store personal data beyond what is necessary for project execution. Where client or project data is used, consent will be obtained, and the data will be stored securely.
• Data Security: AI systems must meet high standards of cybersecurity to prevent unauthorized access, data breaches, or leaks. All AI software will undergo regular security assessments.
• Data Anonymisation: In the case of using data for AI training or research purposes, personal or sensitive data should be anonymised to protect client confidentiality.

6. AI-Driven Decisions and Liability

AI may assist in decision-making processes, such as design options or project cost estimation, but the final responsibility for all decisions lies with the Practice’s qualified professionals. AI-generated suggestions must be scrutinized for accuracy, relevance, and appropriateness to the specific project context.

• Accuracy: All AI outputs should be validated by human professionals before being used in official documents or final designs.
• Liability: In the case of any adverse consequences or errors arising from AI-based decision-making, the Practice will be held liable unless it can be demonstrated that the AI tool was used incorrectly or outside its intended scope.

7. Training and Awareness

To ensure the effective and responsible use of AI, all relevant staff members will undergo training on AI tools, ethical considerations, and data privacy protocols. Regular updates and refresher courses will be provided to keep staff informed about the latest advancements and regulatory changes in AI technology.

8. AI and Employment

The Practice is committed to upskilling its workforce and mitigating any risks associated with AI displacement. AI will be seen as a tool to augment the skills of architectural technologists, not replace them. The Practice will ensure that:

• Job Roles: AI tools will be implemented in ways that complement human skills and creativity, enhancing the design process rather than replacing it.
• Reskilling: Staff will be given opportunities to develop new skills and competencies in emerging AI technologies, ensuring long-term career growth.

9. Supplier and Third-Party AI Systems

The Practice will ensure that any third-party AI tools or services purchased or licensed meet the following criteria:

• Compliance: The AI tool must adhere to UK laws, including GDPR and any industry-specific regulations.
• Transparency: The third-party vendor must provide transparent information about how AI algorithms work, the data they process, and the outputs they generate.
• Security: Third-party tools must meet the Practice’s cybersecurity standards to safeguard client and project data.

10. Continuous Monitoring and Review

AI technologies evolve rapidly, and the Practice will continuously monitor the effectiveness and ethical implications of AI systems. Regular audits will be conducted to assess the performance, accuracy, and fairness of AI tools used in the practice. Feedback from staff and clients will be used to refine AI applications.

11. Conclusion

AI offers significant potential to enhance the work of architectural technologists and the overall quality of our services. However, its use must be balanced with a strong commitment to ethical practices, transparency, and accountability. Dai Evans - Chartered Architectural Technologist, will continue to ensure that AI is used in ways that align with our professional obligations and enhance the service we provide to our clients.

This policy should be reviewed periodically and updated in response to technological advancements and changes in the regulatory landscape.