IEEE P2840/D1.1, Oct 2023
IEEE Draft Standard for Responsible AI Licensing
Available Formats:
- Availability: Immediate Download
- Language: English
- License Type: Single User
- Updates: Not Included
- Availability: Request Quote
- Language: English
- License Type: Enterprise / Multi User
- Updates: Included
About This Item
IEEE P2840/D1.1, Oct 2023 is a draft standard for responsible AI licensing within computing and processing. It addresses how licensing terms may be structured, interpreted, and applied when AI systems or related components are distributed or shared. For organizations evaluating governance, reuse, or downstream obligations, this technical document can help clarify expectations and reduce ambiguity around responsible use.
IEEE P2840/D1.1, Oct 2023 overview
This draft focuses on licensing considerations for AI in a computing context, where responsibilities can extend beyond simple software use. IEEE P2840/D1.1, Oct 2023 is intended to support more consistent handling of terms that may affect deployment, redistribution, modification, and access to AI-related resources. As a draft standard, it is especially relevant for teams tracking evolving requirements and aligning internal practices with a structured approach to responsible AI licensing.
Typical use cases
Typical use cases may include AI software packages, model distribution workflows, platform integration, and procurement reviews for computing systems that incorporate licensed AI components. IEEE P2840/D1.1, Oct 2023 may be useful when defining how licensing terms should be communicated to developers, system integrators, legal reviewers, or compliance teams. It can also support organizations that manage reusable AI assets and need clearer rules for permitted use, transfer, or adaptation.
Why this standard matters
This standard matters because licensing terms can influence compliance, risk management, and operational consistency across AI projects. IEEE P2840/D1.1, Oct 2023 may help organizations reduce uncertainty when assessing rights and obligations tied to AI resources in computing and processing environments. Clearer licensing guidance can support better procurement decisions, more controlled distribution, and more reliable internal governance when AI systems are developed, evaluated, or shared.
- Responsible AI licensing framework
- Computing and processing context
- Draft standard status
- Licensing terms for AI assets
- Governance and compliance support
- Publication Date: 2023
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
Please request information about the document. Contact Page
Need This Standard?
Request a personalized quote today to receive the latest edition in PDF or other available formats.
Need This Standard?
Request a personalized quote today to receive the latest edition in PDF or other available formats.
Summarize with AI
Get quick summaries using your favorite AI engine.
Online Standart Disclaimer
OnlineStandart.com is an authorized reseller of international standards, operating through partnerships with authorized distributors. We do not own the copyrights or trademarks of the standards we sell, including but not limited to those of API, ASHRAE, BSI, SAE, ASTM, IEEE, IEC, ASME, ISO, and others.
All product names, logos, and brands are the property of their respective owners and are used for identification purposes only; their use does not imply endorsement. OnlineStandart.com is not affiliated with or endorsed by any standards development organization unless explicitly stated. The content of this document is for informational purposes only and is intended to promote our licensed reselling services.
Online Standart does not host, distribute, or link to free, unlicensed, or uncertified copies of copyrighted standards. Every document we deliver is a licensed copy obtained through authorized channels and supplied with full licensing documentation. The “Free PDF Download” option on our product pages refers to this free informational document — never to a free copy of any standard.