Survey on AI-Driven Dispute Avoidance in Construction

Target respondents: Project Manager, Quantity Surveyor, Contractor, Consultant, Architect, Lawyer, etc.
1. Which best describes your current relationship with the construction industry?
以下哪项最符合您目前与建筑行业的关系？
2. What is your primary role? (您的主要角色是？)
3. How many years of experience do you have in the construction industry? (您在建筑行业有多少年工作经验？)
4. Disagreements over factual progress tracking (e.g., percentage of work completed) are a common cause of Delay/EOT disputes.
关于实际进度跟踪（例如，工作完成百分比）的分歧是导致工期延期争议的常见原因。
5. Manual processing and human errors in payment application documentation (e.g., invoices, variation orders) frequently lead to Payment disputes.
付款申请文件（如发票、变更指令）的人工处理和人为错误经常导致付款争议。
6. A lack of real-time, shared data on site progress and materials makes it difficult to reach a consensus on project status, leading to arguments.
缺乏关于现场进度和材料的实时共享数据，导致难以就项目状态达成共识，从而引发争论。
7. AI-powered analysis of weather, resource, and progress data can provide reliable early warnings for potential delays.
基于AI的天气、资源和进度数据分析，可以为潜在延误提供可靠的早期预警。
8. Automated verification of payment applications against contract terms and completed work quantities can significantly reduce payment disagreements.
根据合同条款和已完成工作量对付款申请进行自动验证，可以显著减少付款分歧。
9. Having an AI-generated, timestamped log of project events would be valuable for clarifying responsibilities and avoiding disputes.
拥有AI生成的、带有时间戳的项目事件日志，对于明确责任和避免争议非常有价值。

10. How concerned are you about the reliability of data used by AI systems in making predictions or valuations?
您对AI系统用于预测或估值的数据可靠性有多担忧？

11. If an AI system's recommendation (e.g., delay warning, payment certificate) turns out to be wrong, who should be primarily liable?
如果AI系统的建议（例如，延误预警、付款证书）最终被证明是错误的，谁应承担主要责任？

12. In your opinion, should records and certificates generated by a certified/audited AI system be legally admissible as evidence in court or arbitration?
在您看来，经过认证/审核的AI系统生成的记录和证书，是否应在法律上被允许作为法庭或仲裁的证据？

13. Based on what you know or have heard, how common do you think delays and budget disagreements are in large construction projects?
根据您所了解或听到的，您认为在大型建筑项目中，工期延误和预算分歧有多常见？

14. To what extent do you agree that using advanced technology like AI can help manage complex projects more efficiently and avoid problems?
您在多大程度上同意使用AI等先进技术可以帮助更有效地管理复杂项目并避免问题？


15. How much would you trust a recommendation (e.g., a warning or an assessment) made by an AI system in a professional field like construction?
在建筑这样的专业领域，您会在多大程度上信任AI系统提出的建议（例如，警告或评估）？

16. If an AI tool is used for important decisions in a project, how important is it to have clear rules about who is responsible if the AI makes a mistake?
如果在项目中使用AI工具来做重要决策，那么明确规定在AI出错时由谁负责有多重要？
17. What is your primary field of study? 您主修的专业是什么？
18. What is your current level of study? 您目前的学习阶段是？
19. From what I have learned, disputes over project delays and payment valuations are common and serious issues in the construction industry.
根据我所学知识，关于项目延误和付款估值的争议是建筑业常见且严重的问题。
20. I believe that many disputes arise from inefficient manual processes and a lack of real-time, transparent data sharing among project parties.
我认为许多争议源于低效的人工流程以及项目各方之间缺乏实时、透明的数据共享。
21. How effective do you think AI could be in analyzing data to predict potential delays before they become major problems?
您认为AI在分析数据以预测潜在延误（在其演变成大问题之前）方面的有效性如何？
22. To what extent do you agree that automating tasks like payment certification using AI could reduce human error and bias?
您在多大程度上同意使用AI自动化处理付款认证等任务，可以减少人为错误和偏见？
23. How important do you think it is for your future career to be skilled in using AI-assisted tools for project management?
您认为在您未来的职业生涯中，熟练使用AI辅助工具进行项目管理有多重要？
24. What is your level of concern regarding the reliability and accuracy of AI systems in construction?
您对AI系统在建筑业中的可靠性和准确性有多担忧？
25. In your opinion, which of the following is the BIGGEST challenge to adopting AI in construction?
您认为以下哪项是在建筑业采用AI的最大挑战？
更多问卷 复制此问卷