Guidelines for entering AI data markets
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A set of guidelines, synthesis of D3.1, D3.2 and D3.3, including a logical decision tree model with various levels of attainable compliance, to help with the compliance of AI systems
Data generation methods
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Software package containing the implementation of the synthetic test data generation methods
Social analysis and AI acceptance modelling
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Report on the various social impacts of the legislation and general AI and data issues, including an quantitative assessment and optimization of technology acceptance and explorations of impacts on marginalised groups
Communication, dissemination, community building plan, initial report
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Report on the communication, dissemination and community building plan, including the exploitation plan
Template for accrediting third party evaluation laboratories
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Template to verify the suitability of an evaluation laboratory to perform test in a given AI domain of application
Communication, dissemination, community building plan, interim reports
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Report on the communication, dissemination and community building plan
Readiness for testing
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A template - providing criteria to induct AI products into the testing process
Template for developing testing protocols for a given AI application
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Template to develop new testing protocols to test AI systems in their application domain.
Comprehensive legal analysis and map
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Report on the legal landscape and synthesis of relevant regulations and their key points
Ethical considerations of AI compliance
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Report on ethical considerations of AI, data regulation and relevant EU acts in particular
