ADR Awareness Centre | Adra Association

The European AI, Data and Robotics stakeholders operate from diverse historic backgrounds. To tap into the potentials of the diverse knowledge and resources generated in the AI, Data, and Robotics ecosystem, an all-inclusive collaboration approach between these stakeholders is necessary to make the ADR resources available and accessible to all.

For this, the ADR Awareness Centre is developed as an open repository of ADR educational resources and materials to enable collaboration and alignment among all projects within the Partnership, relevant external projects, and the public. The Awareness Centre will collect, validate, and publish educational resources and materials related to AI, Data, and Robotics.

- Who is this for? Everyone. Every project and organization in Europe including the general member of the public
- What does this Centre provide? AI, Data, and Robotics educational resources and materials produced in the EU
- When a new resource becomes available? The list of the resources will be updated when a new resource is submitted and validated
- Why should I publish a resource? Firstly, publishing your materials will promote and make them accessible to all. Secondly, it increases the transparency of your work and improves your and your organizations reputation. Last but not the least, your material will help address ADR challenges and contribute to shaping the future of ADR in Europe.
- How can I contribute and publish my resources? The Centre designed a very simple process for you to submit and publish your resources. You only need to submit your resource here and we will review and get it published and publicly accessible to all.
- What kinds of resources can I publish? The Centre only collects and publishes ADR related educational resources that can be publicly available and accessible to all. Copyrighted and licensed contents will not be published in the Centre.

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Displaying 94 resources

AI and Computational Politics

The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis. Computational Politics has vario

Category

Systems, methodologies, hardware, and tools, Recommendations towards policy changes

Source

AI-OnDemand

Measuring algorithmic bias in face analysis — towards an experimental approach

This resource corresponds to 3rd video from the AI Excellence Lecture Series. Explore the complexities of bias in artificial intelligence as experts present innovative experimental approaches to assess and mitigate bias in face recognition and analy

Category

Recommendations towards policy changes

Source

AI-OnDemand

There will be Artificial Emotional Intelligence

This resource corresponds to 4th video from the AI Excellence Lecture Series. Explore the concept of Artificial Emotional Intelligence (AEI), where machines are not only capable of understanding human emotions but also responding to them in meaningf

Category

Recommendations towards policy changes

Source

AI-OnDemand

Object Pose Estimation

This lecture overviews object pose estimation that has many applications in Human-Robotic Interaction (HRI), Robotics and Augmented Reality.

Category

Recommendations towards policy changes

Source

AI-OnDemand

Machine learning for medicine and healthcare

Medicine stands apart from other areas where machine learning can be applied.

Category

Recommendations towards policy changes

Source

AI-OnDemand

The Ordinal Nature of Affect: An Emerging Approach

Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.

Category

Recommendations towards policy changes

Source

AI-OnDemand