EMERGE applies Open Science policies to ensure that all scientists, policymakers, end-users, and the general public can access our findings, ethics guidelines, and other deliverables. Find below all public deliverables currently available.
D1.1 - Local awareness criteria
This deliverable identifies six challenges for the project of implementing awareness in artificial agents - both at the conceptual, engineering, ethical and industrial levels - and offers a dimensional approach as a way to address them.
D1.2 - Demarcating collaborative awareness from related concepts
This deliverable describes modes of collective awareness for sets of heterogeneous AI systems that can also extend to humans.
D1.3 - Dimensions of collaborative awareness
This deliverable outlines a dimensional framework for understanding and measuring collaborative awareness, providing a conceptual toolkit for assessing collaborative behaviours in heterogeneous systems.
D2.1 - Ethics monitoring and compliance
This deliverable describes the technical and organisational measures that are implemented in EMERGE to safeguard ethical aspects and ensure compliance with national and EU laws and guidelines. It also reports the results of the ethical self-assessments regarding artificial intelligence. The informed consent procedures and forms for the experiments involving human participants are also detailed.
D2.2 - Map of risks in AI-systems
This deliverable reviews a number of ethical and practical challenges and opportunities that could arise with the introduction of collective and aware systems powered by artificial intelligence (AI) into human society
D2.3 - Map of risks and potentials for humans
This deliverable discusses potential ethical risks and benefits that could arise with the introduction of aware AI systems and reports findings from two experiments with which we investigated several of these concerns
D3.1 - Preliminary bestiary of archetypes
This deliverable presents the preliminary investigations into archetypical units and connectors, a set of building blocks that can be combined into more complex systems - called archetype networks - that are the fundamental computational engine of EMERGE built using the language of nonlinear dynamical systems.
D3.2 - Archetypes: Units and Connectors
This deliverable presents EMERGE's investigations into Units and Connectors, a set of building blocks that can be combined into more complex systems — archetype networks — which will be the fundamental computational engine of EMERGE.
D4.1 - First version of the ACS
This deliverable presents the first version of the EMERGE learning framework built on the archetype concept, the so-called Archetype Computing System (ACS).
D4.2 - First version of the ADS
This deliverable presents the final version of the Archetype Computing System (ACS) and the first version of the Archetype Adapting System (ADS).
D5.1 - Measuring emergent awareness
This deliverable provides a framework to measure changes in behaviour based on different dimensions of awareness. We show the framework could be used across use-cases present in the project, from soft robots and networks to swarm robotics and natural systems. We also provide more in-depth metrics associated with swarm robotics.
D5.2 - Emergent Awareness Control
This deliverable describes the conditions leading to different resolutions of awareness with examples in simulation and preliminary results on how to control emergence of awareness.
D8.1 - Project website, logo and online presence
This deliverable details EMERGE’s branding and logo, project website and social media channels.
D8.2 - Communication and dissemination plan
This deliverable presents the strategy for communication and dissemination of the EMERGE project’s objectives and results. It identifies key audiences and stakeholders, their characteristics, and relevant messages. The plan presents the communication and dissemination activities, channels and materials which will be used by project partners throughout the project.
D8.3 - Intermediate report on communication and dissemination activities
This deliverable reports on the communication and dissemination activities executed during the first 30 months of the EMERGE project. It also evaluates the accomplishment of the key performance indicators (KPIs) defined in D8.2.
D9.2 - Data Management Plan
This deliverable describes the data collected within the project as well as the plans for making those data, as well as other research outcomes, available and exploitable by the community. The primary sharing platform for EMERGE’s research outcome is identified and discussed.
D9.4 - Updated Data Management Plan
This deliverable provides an updated version of the Data Management Plan for the EMERGE project, building on the deliverable “D9.2 – Data Management Plan” provided at M6.
