AI ethics-guideline not-research-ethics
“These guidelines are addressed to all AI stakeholders designing, developing, deploying, implementing, using or being affected by AI, including but not limited to companies, organisations, researchers, public services, government agencies, institutions, civil society organisations, individuals, workers and consumers. Stakeholders committed towards achieving Trustworthy AI can voluntarily opt to use these Guidelines as a method to operationalise their commitment, in particular by using the practical assessment list of Chapter III when developing, deploying or using AI systems. This assessment list can also complement – and hence be incorporated in – existing assessment processes. The Guidelines aim to provide guidance for AI applications in general, building a horizontal foundation to achieve Trustworthy AI. However, different situations raise different challenges. AI music recommendation systems do not” (High-Level Expert Group on AI, 2019, p. 5)“raise the same ethical concerns as AI systems proposing critical medical treatments. Likewise, different opportunities and challenges arise from AI systems used in the context of business-to-consumer, business-tobusiness, employer-to-employee and public-to-citizen relationships, or more generally, in different sectors or use cases. Given the context-specificity of AI systems, the implementation of these Guidelines needs to be adapted to the particular AI-application. Moreover, the necessity of an additional sectorial approach, to complement the more general horizontal framework proposed in this document, should be explored.” (High-Level Expert Group on AI, 2019, p. 6)