Figma’s AI design tool mistakenly included copyrighted assets, leading to its temporary removal for additional quality control measures.
Key issues with Figma’s AI tool: The “Make Designs” feature, launched as part of Figma’s Config event, generated outputs suspiciously similar to Apple’s weather app when given certain prompts:
- A user discovered that asking the AI to design a weather app would produce designs closely resembling Apple’s own app, potentially exposing users to legal issues.
- This finding suggested that Figma may have inadvertently trained the AI model on Apple’s proprietary designs, despite CEO Dylan Field’s initial statement denying the tool was trained on Figma content or app designs.
Figma’s response and explanation: In a blog post, Figma VP of Product Design Noah Levin clarified the issues that led to the tool’s removal and outlined steps for improvement:
- While Figma carefully reviewed the AI’s underlying design systems during development and private beta testing, additional components and example screens added just before the public launch were not vetted thoroughly enough.
- Some of these newly added assets resembled real-world applications and appeared in the AI’s output when prompted with certain queries, leading to the similarity with Apple’s weather app.
- Upon identifying the problematic assets, Figma removed them from the design system and disabled the “Make Designs” feature to develop an improved quality assurance process before re-enabling the tool.
Design systems powering the AI tool: Levin provided insight into the extensive design systems commissioned by Figma to enable the AI model’s composition capabilities:
- Two comprehensive design systems, one for mobile and one for desktop, were created with hundreds of components and examples showcasing various ways to assemble them, guiding the AI’s output.
- Metadata from these hand-crafted components and examples is fed into the AI model alongside user prompts, allowing the model to assemble a subset of components inspired by the examples into fully parameterized designs.
- Amazon’s Titan diffusion model then generates the necessary images for the design, effectively helping users identify, arrange, fill out, and theme small composable templates from the design system as a starting point.
Looking ahead: While Figma has temporarily pulled the “Make Designs” feature, other AI tools announced at Config, such as text generation for designs, remain available:
- The company has set an August 15th deadline for users to opt in or out of allowing their data to be used for training potential future AI models.
- Default settings for data usage vary based on user plan, with Starter and Professional plans opted in and Organization and Enterprise plans opted out.
- Figma is working on improving its quality assurance process for AI-generated designs before re-launching the “Make Designs” tool, though no specific timeline has been provided.
Broader implications: The temporary removal of Figma’s AI design tool highlights the challenges and risks associated with integrating generative AI into creative workflows:
- As AI models become more advanced and capable of producing high-quality outputs, the potential for unintentional copyright infringement and legal issues increases.
- Companies developing AI-powered tools must strike a balance between providing users with powerful creative aids and ensuring that the training data and outputs do not infringe upon existing intellectual property.
- Thorough vetting processes and quality control measures are crucial to prevent the inclusion of copyrighted assets or the generation of outputs that too closely resemble real-world designs, which could expose both the tool’s creators and users to legal consequences.
- Transparency regarding AI training data and the establishment of clear guidelines for user data usage will be essential as more companies integrate generative AI into their products and services.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...