COMPEL Glossary / ethics-by-design
Ethics by Design
Ethics by design is the approach of integrating ethical considerations into every stage of the AI development lifecycle rather than reviewing ethics after the system is built.
What this means in practice
It means asking 'Should we build this? Who benefits? Who could be harmed?' before data collection begins, auditing data for bias before it enters the pipeline, incorporating fairness constraints into model architecture, testing for fairness and safety alongside accuracy, deploying monitoring from day one, and establishing clear retirement criteria. The alternative -- ethics as afterthought -- is how documented AI failures (biased hiring algorithms, discriminatory credit models, harmful content generation) occur. In the COMPEL framework, ethics by design is operationalized through mandatory artifacts at each stage: ethical review during Model, fairness testing during Evaluate, and monitoring during production operation.
Why it matters
Ethics as afterthought is how documented AI failures occur: biased hiring algorithms, discriminatory credit models, and harmful content generation. Integrating ethical considerations into every development stage costs far less than retrofitting ethics after deployment. Organizations that practice ethics by design build more trustworthy products, reduce regulatory risk, and avoid the reputational damage that accompanies publicized AI failures.
How COMPEL uses it
COMPEL operationalizes ethics by design through mandatory artifacts at each stage: ethical review during Model, fairness testing during Evaluate, and monitoring during production operation. The Governance pillar ensures ethical requirements flow from strategy through design to implementation. Module 3.4, Article 4 provides the advanced ethics architecture that embeds ethical considerations into governance processes rather than treating them as optional additions.
Related Terms
Other glossary terms mentioned in this entry's definition and context.