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Platform-as-a-service for accountable evidential transactions

In the domains of aeronautics, automotive, energy, manufacturing and retail, Munich Innovation Hub for Applied AI proposes novel solutions to counter the complexity and dependability challenges resulting from distributed accountability, the need for more efficient and intuitive human-CPS interactions as well as the speed and robustness of constantly evolving AI systems.In the experiment, a proposal for the deployment of the platform for intuitive, accountable AI (PIANAI) for AI-based systems willbe elaborated (WP5), based on clear AI-based innovation projects in these domains, and implemented as an overlay of the DIHIWARE and AI4EU platforms. Moreover, PIANAI services will be aligned with the AI Manufacturing Testbed provided by TNO (WP6), in regardsto International Data Spaces (IDS), GAIA-X and federated learning. In particular, we will provide corresponding interfaces and integrate PIANAI services into the testbed. One particular application could be the implementation of the “clearing house” concept as defined by IDS.The experiment offers a technical service. It provides technical means for the definition of verifiable claims regarding the design, deployment and consumption of an AI service. The claims are defined and supported through tamper-proof facts along the devops process for the AI service under study. Additionally, the claims can be defined post design and development of a AI service, by handling a number of guarantees regarding the service from a blackbox perspective.