What impact do short videos about human rights have on the awareness and engagement with with Human Rights by University students? This is the question we sought to address in a recent study in collobation with with Prof. Matthew Daniles of the Institute of World Politics, who in 2016 launched the universalrights.com YouTube channel that features student created short human rights videos.
The Fairness Toolkit has been developed for UnBias by Giles Lane and his team at Proboscis, with the input of young people and stakeholders. It is one of our project outputs aiming to promote awareness and stimulate a public civic dialogue about how algorithms shape online experiences and to reflect on possible changes to address issues of online unfairness. The tools are not just for critical thinking, but for civic thinking – supporting a more collective approach to imagining the future as a contrast to the individual atomising effect that such technologies often cause.
The toolkit contains the following elements:
2. Awareness Cards
5. Value Perception Worksheets
All components of Toolkit are freely available to download and print from our site under Creative Commons license (CC BY-NC-SA 4.0).
Download the complete UnBias Fairness Toolkit (zip archive 18Mb)
Demonstrations of the toolkit will be given at the V&A Digital Design weekend, London September 22nd.
We are conducting a survey on algorithm preferences for solving resource-allocation problems. The survey consists of two case studies with 5 options to determine the allocation algorithm. Completing this task should take between 10 – 20 minutes.
As part of our work to contribute to the development of the IEEE P7003 Standard for Algorithm Bias Considerations we are reaching out to the community of stakeholders to ask for use cases highlighting real-world instances of unjustified and/or inappropriate bias in algorithmic decisions.
Many multi-user scenarios are characterised by a combinatorial nature, i.e., an algorithm can take meaningful decisions for the users only if all their requirements and preferences are considered at the same time to select a solution from a huge potential space of possible system decisions. Sharing economy application, where users aim to find peers to form teams with in order to accomplish a task, and situations in which a limited number of potentially different resources, e.g. hotel rooms, must be distributed to users who have preferences over them are examples of such scenarios.