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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Allan BusiOct 1, 20268 min readMemphisThe Training: Anthropic - Understanding and Deploying Ethical and Responsible Artificial Intelligence training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training: Anthropic - Understanding and Deploying Ethical and Responsible Artificial Intelligence training, Learni provides the following teaching resources:
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The assessment of skills acquired during the Training: Anthropic - Understanding and Deploying Ethical and Responsible Artificial Intelligence training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Discovery of Anthropic: origins, mission, founding team. Presentation of generative AIs and risks associated with their use. Overview of constitutional models and value alignment in AI. Introduction to alignment, safety, and transparency concepts in AI systems.
Study of fundamental ethical principles formalized by Anthropic. Analysis of constitutional AI concept and alignment method. Presentation of real AI drift cases and solutions implemented. Reflection on social responsibility and regulatory implications (Europe, GDPR, etc.). Role-playing exercises.
Overview of Anthropic language models (Claude, versions, API). Steps for technical and ethical integration of an AI model. Parameterization for alignment with company charter and values. Practical workshop: model selection and configuration based on ethical specifications. Tests, validation, and post-deployment monitoring.
Bias detection, monitoring, and auditing of AI responses. Implementation of monitoring tools and continuous correction. Continuous improvement process around AI ethics. Incident review and alert management. Introduction to writing responsible user guides.
Sectoral case studies (health, finance, services, education). Development of a personalized action plan for responsible AI integration. Collective presentation: defense of a mini-Anthropic integration project. Synthesis, discussion, and perspectives on ethical AI evolution.
8 participants max.
$2,640 / per person
2 days
distancielTarget audience
AI professionals, innovation managers, AI project managers, machine learning engineers, IT directors, and anyone wishing to integrate ethics into AI
Prerequisites
Basic knowledge of machine learning, general knowledge of artificial intelligence
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