Applying RICS Responsible Use of AI in Surveying Practice
Learn responsible AI for surveying. Cover compliance, risk, data governance & client transparency. Ensure ethical & compliant AI practices in your field.
Course Content
Applying RICS Responsible Use of AI in Surveying Practice is an all-levels Udemy course taught by David Inman FRICS CEnv. It runs 1h 33m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 5 reviews, with 8 students enrolled. It is a paid course, first published September 2025.
Unlock the power of artificial intelligence (AI) in surveying with this comprehensive online course. Learn how AI tools are revolutionizing the surveying profession, offering advanced capabilities in data analysis, predictive modelling, and boosting operational efficiency.
This training dives deep into the RICS Professional Standard on Responsible Use of Artificial Intelligence in Surveying Practice. You'll gain the knowledge and confidence to ethically and effectively integrate AI solutions into your workflow.
Who should take this course? Surveyors, property professionals, and anyone working with AI in the built environment.
What you'll learn:
- Apply RICS principles for responsible AI use in surveying.
- Understand transparency, fairness, and bias mitigation within AI systems.
- Embed ethical considerations into AI procurement and implementation.
- Demonstrate compliance with RICS Rules of Conduct in AI decision-making.
Through engaging modules and real-world case studies, you'll gain practical guidance on navigating the ethical landscape of AI in surveying. Downloadable materials are provided to help you implement the Professional Standard within your organization.
By the course's conclusion, you'll be well-equipped to lead discussions on responsible AI adoption in surveying, gaining a competitive edge while maintaining the highest professional standards.
Note: A copy of the Professional Standard is not included but is available for free download on the RICS website.
Want AI in your product? Hire the team behind TutorialSearch.io
LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.