Users cannot use DoorDash's platform content or data to train AI or machine learning systems, nor can they use automated tools to collect data from DoorDash, without prior written permission from DoorDash.
This analysis describes what DoorDash's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision establishes DoorDash's control over derivative uses of platform data and content, requiring users and third parties to obtain explicit authorization before using the service for AI training, data aggregation, or automated collection purposes. This mechanism protects the platform's data and proprietary content from being used to develop competing services or train external systems.
Interpretive note: The enforceability of AI training prohibitions in consumer terms is an area of active legal development; the scope of 'prior written consent' and the availability of fair use or equivalent defenses may vary by jurisdiction.
This provision restricts users from using DoorDash's content or data to build AI systems or conduct automated data collection; it applies to all users including developers and researchers, and violation may result in account suspension.
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Please note that we do not knowingly sell the personal information of minors under 16 years of age without legally-required affirmative authorization. Please note that we do not knowingly sell the personal information of minors under 16 years of age.
Use code or content extracted from the Licensed Products as training input for any Generative AI Program or as prompt-based input where the Generative AI Program trains on input data. "Generative AI Program" means artificial intelligence, machine learning, deep learning, neural networks, or similar ...
Don't claim to be human when directly and sincerely asked, use AI to deceive people about its fundamental nature, or impersonate real people or organizations in misleading ways.
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"(g) You will not use or attempt to use the Services or content accessible through the Services without DoorDash's prior written consent in connection with the development of any software program, including, but not limited to, training a machine learning or artificial intelligence (AI) system or providing archived or cached data sets containing content accessible through the Services to another person or entity. (p) You will not use, access, or collect content, data, information, or materials published or available on the Services—including, but not limited to, text, photographs, images, illustrations, designs, audio clips, video clips, 'look and feel,' metadata, data, or compilations—using automated means unless DoorDash has given you prior permission to do so in writing.— Excerpt from DoorDash's DoorDash Terms of Service
(1) REGULATORY LANDSCAPE: This provision engages with copyright law (Copyright Act, US) regarding the use of platform content for AI training, an area of active legal development in the US and internationally. The EU AI Act and EU copyright directives may impose or interact with obligations regarding training data provenance for AI systems. The Computer Fraud and Abuse Act (CFAA) may be relevant to unauthorized automated access. This area of law is evolving and the enforceability of AI training prohibitions in consumer terms is not fully settled. (2) GOVERNANCE EXPOSURE: Medium. The explicit prohibition on AI training use is a provision that reflects current industry practice in protecting platform content from AI data harvesting; however, the legal enforceability of such prohibitions against all categories of users (particularly researchers or developers acting under fair use or equivalent doctrines) is an area of active legal debate. (3) JURISDICTION FLAGS: The application of this prohibition to users in the EU may engage with EU copyright exceptions for text and data mining under the EU Copyright Directive, which provides certain carve-outs for research and non-commercial use. US fair use doctrine may also create uncertainty about the scope of this prohibition for certain use cases. (4) CONTRACT AND VENDOR IMPLICATIONS: Developers and technology companies that access DoorDash's platform or public-facing content for any purpose should assess whether their activities fall within the scope of this prohibition and whether they have obtained the required written consent. The prohibition on providing cached data sets to third parties may affect data aggregation or analytics vendors. (5) COMPLIANCE CONSIDERATIONS: Legal teams at companies that have any automated interaction with DoorDash's platform or use its content in AI or analytics contexts should review whether they have obtained the written consent required by this provision. The scope of 'content accessible through the Services' is broad and may capture publicly visible data such as restaurant menus and pricing.
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The provision establishes DoorDash's control over derivative uses of platform data and content, requiring users and third parties to obtain explicit authorization before using the service for AI training, data aggregation, or automated collection purposes. This mechanism protects the platform's data and proprietary content from being used to develop competing services or train external systems.
This provision restricts users from using DoorDash's content or data to build AI systems or conduct automated data collection; it applies to all users including developers and researchers, and violation may result in account suspension.
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