--- title: "Wan 2.2 | Ethical Stack" url: https://ethicalstack.ai/products/wan-2-2/ catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2 --- # Wan 2.2 Open video-generation model family with T2V-A14B and I2V-A14B 480p/720p checkpoints plus TI2V-5B at 720p. Canonical profile: https://ethicalstack.ai/products/wan-2-2/ Scope: Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes. Published overall: 5; 5/6 dimensions rated. Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score. ## Energy practices Finding: 3/10 Assessment: https://ethicalstack.ai/products/wan-2-2/#energy This grades disclosed operating practices, not the electricity or emissions of a particular generation. Reason: 1 + 1 reporting + 0 electricity + 1 controls = 3/10. This grades documented practices and transparency. Argument: The release gives limited runtime or control details but no comparable per-task footprint or electricity-source evidence. Wan provides release-specific GPU and resolution operating settings; the card’s hardware test is an inference boundary, not an energy footprint. The inference code exposes offloading and dtype conversion to lower GPU-memory demand, plus clip resolution/duration selection; no physical resource saving is measured. Type: argument; confidence: medium Scope (dimension): Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes. Research reviewed: not recorded; evidence date: not recorded Unknowns: Per-task energy, serving region, facility electricity mix, water and independent footprint review are not established in the cited release sources. ```json { "method": "practices-transparency-v1", "scope": "Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes.", "components": { "disclosure": { "score": 1, "reason": "Wan provides release-specific GPU and resolution operating settings; the card’s hardware test is an inference boundary, not an energy footprint.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] }, "electricity": { "score": 0, "reason": "The release materials do not report matched regional electricity sourcing or carbon-free supply for training or inference.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] }, "demand": { "score": 1, "reason": "The inference code exposes offloading and dtype conversion to lower GPU-memory demand, plus clip resolution/duration selection; no physical resource saving is measured.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] } }, "actualImpactMeasured": false } ``` - [Official Wan2.2 T2V-A14B model card and license](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) (primary; checked 2026-10-24) - [Wan2.2 official repository, inference code and hardware settings](https://github.com/Wan-Video/Wan2.2) (primary; checked 2026-10-24) - [Wan official product site](https://wan.video/) (primary; checked 2026-10-24) ## Training data Finding: 2/10 Assessment: https://ethicalstack.ai/products/wan-2-2/#training-rights The model release does not provide a complete inspectable training-source permission record. Reason: 1 base + 1 source transparency + 0 documented permission + 0 creator controls = 2/10. Argument: The reviewed release documentation wan2.2 states it expanded its video/image training data over wan2.1, but publishes no named-source permissions ledger. It provides no source-level permission ledger or creator remedy; a model-weight license governs downstream use, not the material used to train the model. Type: argument; confidence: medium Scope (profile): Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes. Research reviewed: not recorded; evidence date: not recorded Unknowns: Named source inventory, source-level licenses, creator remedies, and independent verification remain unestablished for this release. ```json { "method": "training-rights-evidence-v1", "scope": "The stated training release or selected model", "components": { "provenance": { "score": 1, "reason": "Wan2.2 states it expanded its video/image training data over Wan2.1, but publishes no named-source permissions ledger.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] }, "permissions": { "score": 0, "reason": "The release sources do not publish a training-source permission basis or rights ledger; the weight license does not establish training-data permission.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] }, "creatorControls": { "score": 0, "reason": "No training-source creator permission-before-use, opt-out, removal or retraining route is documented for this release.", "sourceUrls": [ "https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B", "https://github.com/Wan-Video/Wan2.2", "https://wan.video/" ] } }, "routeDependency": null, "modelReference": null } ``` - [Official Wan2.2 T2V-A14B model card and license](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) (primary; checked 2026-10-24) - [Wan2.2 official repository, inference code and hardware settings](https://github.com/Wan-Video/Wan2.2) (primary; checked 2026-10-24) - [Wan official product site](https://wan.video/) (primary; checked 2026-10-24) ## Your data & privacy Finding: Not enough evidence Assessment: https://ethicalstack.ai/products/wan-2-2/#privacy Privacy has no single score for these downloadable weights because handling depends on the inference host and integrations. Reason: Depends on selected inference host; no single prompt-handling route applies to the weights. Argument: The release can be run locally, but it also appears in hosted provider routes; those operators set their own request retention, training and region terms. A cloud API, where offered, is a separate policy route and is not inherited from the local weights. Type: argument; confidence: high Scope (dimension): Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes. Research reviewed: not recorded; evidence date: not recorded Unknowns: A selected host, network path, telemetry, logging, external prompt enhancement, and data retention need route-specific review. - [Official Wan2.2 T2V-A14B model card and license](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) (primary; checked 2026-10-24) - [Wan2.2 official repository, inference code and hardware settings](https://github.com/Wan-Video/Wan2.2) (primary; checked 2026-10-24) - [Wan official product site](https://wan.video/) (primary; checked 2026-10-24) ## Openness Finding: 7/10 Assessment: https://ethicalstack.ai/products/wan-2-2/#openness Apache 2.0 weights and inference code are public, with extensive deployment examples but no full training corpus or compute recipe. Reason: 7/10 reflects permissively licensed public weights/code and runnable inference, with corpus and complete training details undisclosed. Argument: The official model card and repository provide weights, Apache 2.0 license, inference code and GPU benchmarking details. Training-source inventory and full training recipe are not provided. This rating concerns release artifacts and reproducibility, not training-data permission. Type: argument; confidence: medium Scope (profile): Wan2.2 official open weights and inference code; model card used here is T2V-A14B. The official repository documents sibling I2V/TI2V routes. Research reviewed: not recorded; evidence date: not recorded Unknowns: A source-level training-data manifest and complete reproducibility record are unavailable for Wan2.2. - [Official Wan2.2 T2V-A14B model card and license](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) (primary; checked 2026-10-24) - [Wan2.2 official repository, inference code and hardware settings](https://github.com/Wan-Video/Wan2.2) (primary; checked 2026-10-24) - [Wan official product site](https://wan.video/) (primary; checked 2026-10-24) ## Worker protections Finding: 6/10 Assessment: https://ethicalstack.ai/products/wan-2-2/#labour Alibaba publishes group workforce indicators, an Employee Rights Code, employee reporting channels and compliance processes; these describe Alibaba employees, not the AI data-labeling supply chain. Reason: 1 + 2 pay & conditions + 2 worker voice & remedy + 1 evidence & follow-through = 6/10. This grades documented worker safeguards, not a measured rate of mistreatment. Argument: Alibaba’s ESG employee-development pages report workforce composition and employee participation indicators, while its integrity and governance pages describe code compliance, reporting channels, compliance processes, and board oversight. These are concrete group-level employee systems, but public detail on annotation, evaluation, content moderation, and infrastructure contractor conditions or outcomes remains limited. This entry carries the same developer/operator finding to Wan 2.2; it does not establish that this product was deployed under every cited relationship. Type: argument; confidence: medium Scope (dimension): Wan / Alibaba Cloud: the documented developer/operator record, not proof of deployment of Wan 2.2. Research reviewed: 2026-10-24; evidence date: not recorded Unknowns: The reviewed pages do not establish AI-data subcontractor coverage, worker-level wage/hour outcomes, case counts or remediation outcomes for labor reports, or independent labor-audit results. ```json { "method": "worker-safeguards-evidence-v1", "entity": "alibaba", "company": "Alibaba / Qwen", "scope": "Alibaba / Qwen's workforce and disclosed contractors. Coverage of individual product teams may be incomplete.", "components": { "conditions": { "score": 2, "reason": "Company ESG disclosures report workforce composition and employee participation indicators and describe employee-rights standards; this is concrete employee evidence but does not demonstrate coverage of AI data work or contractors.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] }, "voice": { "score": 2, "reason": "Alibaba describes employee reporting and escalation channels, privacy/non-retaliation protections, and dedicated compliance processes; public labor-specific case outcomes were not located.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] }, "assurance": { "score": 1, "reason": "Governance materials describe compliance training and audit/control processes, but the reviewed public disclosures do not provide independent worker-level labor assurance or remediation results.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] } }, "disclosureLimited": false, "meaning": "This grades documented worker safeguards, not a measured rate of mistreatment." } ``` - [Alibaba ESG employee development and Employee Rights Code](https://www.alibabagroup.com/en-US/esg-employee-development) (primary; checked 2026-10-24) - [Alibaba Integrity and Compliance reporting](https://www.alibabagroup.com/en-US/integrity-compliance) (primary; checked 2026-10-24) - [Alibaba ESG governance](https://www.alibabagroup.com/en-US/esg-governance) (primary; checked 2026-10-24) - [Alibaba ESG resources and ratings](https://www.alibabagroup.com/en-US/esg-resource) (primary; checked 2026-10-24) ## Military ties Finding: 7/10 Assessment: https://ethicalstack.ai/products/wan-2-2/#military-contracts Qwen3.8’s released model licenses do not establish a military-use ban. Alibaba publishes stronger rules for its separate QwenWork hosted service; no Qwen3.8 military contract was established. Reason: 7 base + 0 safeguard adjustment = 7/10 (1 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record. Argument: The Qwen3.8-27B release uses Apache 2.0, while the larger Qwen3.8 release has its own license. Neither reviewed release license carries the QwenWork hosted-service military restrictions. QwenWork prohibits specified weapons and military end uses and permits service enforcement, but that separate contract does not establish controls on downloaded Qwen3.8 weights. No Alibaba military contract or Qwen3.8 deployment was established in this bounded source review. This entry carries the same developer/operator finding to Wan 2.2; it does not establish that this product was deployed under every cited relationship. Type: argument; confidence: low Scope (dimension): Wan / Alibaba Cloud: the documented developer/operator record, not proof of deployment of Wan 2.2. Research reviewed: 2026-10-24; evidence date: not recorded Unknowns: The reviewed QwenWork contract does not establish an Alibaba defense relationship or a companywide model restriction. Self-hosted Qwen3.8-27B and Qwen3.8-Max use separate licenses; undisclosed contracts, deployments, and enforcement outcomes remain unknown. ```json { "method": "military-ties-priority-v2", "entity": "alibaba", "company": "Alibaba / Qwen", "scope": "Qwen3.8 released weights and disclosed Alibaba relationships. QwenWork hosted terms are a separate policy and do not score the downloaded models.", "components": { "restrictions": { "score": 0, "reason": "The reviewed Qwen3.8 release licenses do not impose a specific military-purpose ban. Restrictions in the separate QwenWork customer contract are not applied to these weights.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE" ] }, "oversight": { "score": 0, "reason": "Hosted-service suspension rights do not establish monitoring or enforcement over downloaded Qwen3.8 copies. No release-specific military oversight was established.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE" ] }, "transparency": { "score": 1, "reason": "Alibaba publishes the release licenses and a separate hosted military-use policy, making the scope distinction inspectable. No military customer or deployment record is established.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE", "https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html" ] } }, "relationship": "not-established", "relationshipReason": "The QwenWork hosted-service terms include product-specific use safeguards, but no Alibaba defense contract or military deployment was established in reviewed materials. Its Qwen3.8 model repositories have distinct licenses, so the QwenWork safeguards are not attributed to self-hosted weights or treated as evidence of a military relationship.", "score": 7, "baseScore": 7, "safeguardPoints": 1, "safeguardAdjustment": 0, "rawScore": 7, "cap": null, "disclosureLimited": true, "meaning": "Known military relationships take priority over missing safeguards. The rating does not establish the probability of an undisclosed contract." } ``` - [QwenWork Terms of Service](https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html) (primary; checked 2026-10-24) - [Qwen3.8-27B model repository license (Apache-2.0)](https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE) (primary; checked 2026-10-24) - [Qwen3.8-Max model repository license](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE) (primary; checked 2026-10-24) - [Alibaba Model Governance and Qwen use guidance](https://home.alibabagroup.com/en-US/ai-governance/governance) (primary; checked 2026-10-24) ## BDS targets Finding: Not listed Assessment: https://ethicalstack.ai/products/wan-2-2/#israel-palestine We did not find Alibaba Cloud / Qwen team among the named targets in the two official BNC campaign lists checked on 2026-10-23. This is a limited list check, not BDS approval. Reason: BDS campaign status is a factual category, not a 1–10 ethical rating. Argument: Alibaba Cloud / Qwen team is not a named target in the checked lists, but BDS uses selective campaigns, so absence cannot establish a clean record. Running downloaded weights locally is a different decision from paying the developer or a cloud host; check the host as well. This entry carries the same developer/operator finding to Wan 2.2; it does not establish that this product was deployed under every cited relationship. Type: evidence; confidence: medium Scope (dimension): Wan / Alibaba Cloud: the documented developer/operator record, not proof of deployment of Wan 2.2. Research reviewed: 2026-10-23; evidence date: not recorded Unknowns: This review covers the named targets in the BNC consumer/pressure guide and No Tech campaign, not every BDS campaign, local group, investment or supplier. Lists and ownership can change. A company’s absence from these lists is not an endorsement or proof that it has no relevant relationships. - [BNC: live guide to consumer boycott and pressure targets](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-23) - [BNC: No Tech for Oppression, Apartheid or Genocide campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-23) ## Reading the evidence - Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns. - Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct. - Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment. - Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap. - Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical. - No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score. - Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification. Methodology: https://ethicalstack.ai/methodology/