Social norms to counteract misinformation in human-AI hybrid systems
There is a segmentation in a small “core” of active users responsible for large amounts of fake news and a larger "periphery" that mainly retweets.
"Research bundles" give you a space in the AI on-demand platform where you can collect and publish the outputs of a small research project in a compact way. A research bundle collects in a single place all the assets (code, data, tutorials, examples, ...) produced by your project and published on the AI on-demand platform. Of course, you can also put links to assets published elsewhere, like Github or Zenodo.
There is a segmentation in a small “core” of active users responsible for large amounts of fake news and a larger "periphery" that mainly retweets.
A Humane-AI-Net micro-project that aims to address the limitations of scripted dialogue training systems.
Analysing the exogenous factors impacting our judgement of and response to information
A conceptual model of key components relating to supporting healthy behavior change
The purpose of this micro-project was to critically reflect on the design of an AI system by investigating the role of the designer.
In this microproject we focus on the identification of existing support structures and formats for innovation and assess if they are suitable for an implementation in the respective organizations’ innovation strategy.
We focused on learning a policy based on the expert training data, while allowing the policy to go beyond data by interacting with an environment dynamics model and accounting uncertainty in the state estimation with virtual sensors.
This project investigated the role of social norms on misinformation in online communities.
We study fairness and find that it is not value-free, as it has serious implications in terms of who will be affected by a fairness intervention.
This second micro project in a series of three will validate the air quality prototype developed in the first micro project with a second, real city, Valladolid in Spain.