Operational AI Ethics
Achieving trustworthy image recognition systems by design is based on:
Le programme Operational AI Ethics nous permet de traiter le sujet des biais et de l’explicabilité des algorithmes dans toute sa diversité, en réunissant des expertises complémentaires, bien au-delà de nos disciplines respectives.
Each of the use cases is supposed to eventually require a government order, or perhaps even a specific law. This can happen only if the quality of the algorithms can be demonstrated, including reliability, robustness, level of local interpretability, absence of discrimination, the rate of false positives, and level of human control and oversight. The LIMPID project helps formulate the legal/ethical requirements for reliability, fairness and local explainability, and then design or adapt tools to meet the identified requirements. Iteratively, each proposed technical solution is refined based on feedback from the legal specialists.
Based on international benchmarks and examples from use cases similar to ours, LIMPID develops and discusses with institutional stakeholders an initial set of legal and ethical requirements that one could reasonably expect to apply to an image recognition tool in our specific use cases. The requirements are refined as we experiment with different approaches to reliability and as a function of stakeholder input. At the end of the project, a final list of requirements will be proposed, and a gap analysis performed with the technical reliability solutions.
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Culpa qui officia deserunt mollit anim id est laborum. Sed ut perspiciatis unde omnis iste natus error sit voluptartem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi ropeior architecto beatae vitae dicta sunt.
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