Design defect
A defect originating in the model's architecture or training, producing systematically wrong or harmful outputs for categories of input. Distinguished from a manufacturing defect (the model executed correctly but produced a one-off error) and from a deployment defect (the model was correctly designed but incorrectly used).
Defined in 3 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A defect originating in the model's architecture or training, producing systematically wrong or harmful outputs for categories of input. Distinguished from a manufacturing defect (the model executed correctly but produced a one-off error) and from a deployment defect (the model was correctly designed but incorrectly used).
A flaw in a product's fundamental design, present in every unit of that product, that makes it unreasonably dangerous even when manufactured and used as intended. Distinct from a manufacturing defect, which affects only some units due to an error in production.
A products liability theory alleging an entire product line's design is unreasonably dangerous, typically evaluated using the risk-utility test and the availability of a reasonable alternative design.
A systematic flaw in the conception or training of an AI system that affects every instance of the product, as distinct from a defect in a single unit or deployment. Examples include training-data demographic gaps or objective-function misalignment.
A finding indicating the robot, as specified, will not perform its function safely, reliably, or economically, requiring an actual change to the design rather than better documentation or evidence.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Liability: Product Liability, Section 230, and Tort Evolution · Legal Frameworks and Liability Navigation, The AI Lobbyist: Certified AI Policy Strategist
- Product Liability for AI (the Revised PLD) · Regulatory Interplay and Liability, EU AI Act Implementation Expert
- The AI Liability Landscape: Proving Fault When AI Causes Harm · Regulatory Interplay and Liability, EU AI Act Implementation Expert
- Who is responsible when an autonomous robot causes harm · Responsible Physical AI in Practice, Engineering Judgment and Professional Formation
- Evolve it from what failed: turn the review verdict into the next iteration · Capstone: The GAGE Design Review, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Design defect starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Assures AI systems that can cause physical harm: hazard analysis, safety cases, runtime monitors, and the standards evidence a regulator or a court will ask for.
2 lessons on this page teach it as a primary outcome.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
One lesson on this page teach it as a primary outcome.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds working knowledge
- Physical AI Safety Engineer, autonomous systems editionneeds it at depth
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Governance Managerneeds it at depth
- AI Governance Analystneeds working knowledge · 3 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: EU AI Act; EU Machinery Regulation; ISO 10218; ISO/TS 15066.
One interview question about it
A collaborative robot's learned policy updates monthly. What evidence do you need before each update reaches the floor, and who signs it?
Asked of candidates for physical ai safety assurance. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.