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Hey ChatGPT, Can We Talk?

A Q&A with an AI about the risks and rewards of employing artificial intelligence tools at your glass business

graphic depiction of AI chatbot

Artificial Intelligence has firmly taken root in the glass industry, with companies in all areas beginning to utilize AI tools throughout their businesses. This includes the National Glass Association, the publisher of Glass Magazine.

I asked the team at NGA to describe ways in which they are using AI right now. Responses ranged from using AI to help draft better emails, to quickly calculating data analysis for market research reports, to immediately gathering dinner recipes that account for a range of dietary restrictions. Looking at the wider industry, I’ve chatted with small glass companies who have dabbled with AI to generate marketing content, with fabricators who employ AI-assisted quality control systems, and glazing contractors who are investigating how to integrate AI into their design-assist processes.

However, the use of AI also presents risks to companies. One major challenge is the possibility that AI will “hallucinate,” aka generate false information. This could present serious risks to companies working through design documents, customer communications and more. Thus, all AI-generated content requires careful review. Additionally, AI output is only as strong as the input. In other words, humans must provide very clear, detailed prompts to achieve useful AI responses.

Given the rapidly increasing role of AI in our day-to-day lives (at work and home), I thought it was time to invite AI to comment directly to describe its capabilities and address the risks companies face when using AI. What follows is a transcript from a conversation with ChatGPT, the language model by OpenAI.

Hey ChatGPT, can I interview you for a column I'm writing about the risks and rewards of using AI at architectural glass industry companies?

ChatGPT: Of course! I'm ready for your questions.

First, can you tell me about yourself and your origin?

Certainly! I'm ChatGPT, developed by OpenAI. Trained on diverse internet text, I generate human-like responses to queries. My origin is rooted in the research and engineering efforts at OpenAI, where teams continuously work to enhance my capabilities while adhering to ethical guidelines and user needs.

How do you get your information?

I gather information from a vast dataset composed of diverse sources across the internet. This data is used to train and update my knowledge base.

What do you see as the role of AI in the architectural glass industry?

In architectural glass, AI revolutionizes design, quality control, and efficiency. Adapting to technology's evolution, integration promises innovation, reshaping aesthetics and methodologies for professionals.

Can you be more specific? For example, how might a company that handles shower door design and installation, working directly with the customer, use AI in its business?

A company could use AI to generate custom shower door designs based on customer preferences, optimize installation schedules, and enhance customer service through chatbots for queries and support.

What about a glazing subcontractor using AI on a commercial glazing project?

A glazing subcontractor could use AI for:

  • Automated design and modeling of glass facades.
  • Optimizing material usage for cost efficiency.
  • Predictive maintenance for installed systems.
  • Real-time monitoring of glass performance for safety and energy efficiency.
  • Enhanced project scheduling and logistics management.

What are the risks of using AI in construction?

AI can make mistakes in construction projects through design errors, poor scheduling, misallocated resources, safety risks, quality control issues, legal non-compliance, technical failures, and over-reliance on AI, leading to human oversight neglect. Ensuring data quality, thorough testing, and maintaining human oversight can mitigate these risks.

Has a subcontractor faced legal issues because they used AI on a project?

Yes, subcontractors have faced legal issues for AI-related mistakes in projects, such as faulty design decisions or safety hazards, leading to litigation over liability and damages.

Can you provide a specific example?

While I don't have access to real-time data, there have been instances where subcontractors faced legal challenges due to AI-related errors. For example, a subcontractor might face litigation if their AI-driven scheduling system fails to account for critical project dependencies, causing delays and financial losses for the main contractor.

How can a subcontractor protect themselves?

Subcontractors can protect themselves by:

  • Ensuring AI systems are thoroughly tested and validated.
  • Having clear contractual agreements that outline responsibilities and liabilities.
  • Obtaining appropriate insurance coverage for AI-related risks.
  • Maintaining human oversight and expertise to mitigate AI errors.
  • Staying informed about legal and regulatory developments related to AI in construction.

There is insurance for AI risks?

Yes, there are emerging insurance products specifically designed to cover risks associated with AI, including errors and omissions (E&O) insurance, cyber liability insurance, and technology errors and omissions (Tech E&O) insurance. These policies can help protect businesses from financial losses resulting from AI-related mistakes, such as faulty algorithms or data breaches.

What about the risks of using AI in glass fabrication and manufacturing?

The risks of using AI in glass manufacturing or fabrication include:

  • Inaccurate defect detection leading to subpar product quality.
  • Unforeseen technical failures in AI-driven machinery causing production downtime.
  • Data security breaches if AI systems are not properly protected.
  • Over-reliance on AI leading to neglect of human expertise and intuition.
  • Regulatory non-compliance if AI systems fail to adhere to industry standards or safety regulations.

Will AI take jobs away from people working in architectural glass?

While AI may automate some tasks in architectural glass work, it's more likely to augment human capabilities rather than replace jobs entirely. Workers will still be needed for tasks that require creativity, critical thinking, and manual dexterity, while AI handles repetitive or data-intensive tasks, leading to more efficient processes rather than job displacement.

Thanks for chatting today.

You're welcome! If you have any more questions or need assistance in the future, don't hesitate to reach out. Have a great day!


Katy Devlin

Katy Devlin

Katy Devlin is content director for the National Glass Association and editor in chief of Glass Magazine. E-mail Katy at