OUR FUTURE INTERNET: FROM BIAS TO TRUST
DIGITAL CATAPULT: OCTOBER 1ST 10.30 AM TO 5.00 PM
Interested stakeholders are invited to attend a one-day workshop on October 1st where we will be showcasing the outcomes of the UnBias (Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy) project.
In addition to reporting on our major findings we will also highlight key outputs such as policy guidelines and demonstrate our exciting fairness toolkit. This engaging and interactive event will be of relevance to members of industry as well those from the research, policy, law and education communities. The day will also include presentations from external speakers and opportunities for networking. Furthermore, we will announce plans for our follow-on project, ReEnTrust, which will identify mechanisms to rebuild and enhance trust in algorithmic systems.
HOW TO BOOK YOUR PLACE
The workshop is free to attend but registration is necessary.
If you would like to attend, please contact firstname.lastname@example.org
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).
Demonstrations of the toolkit will be given at the V&A Digital Design weekend, London September 22nd.
More information is available on the Fairness Toolkit, and Trustscapes pages.
Continue reading UnBias Fairness Toolkit
Over the last two years UnBias has engaged with a wide range of stake holder to explore the issue of bias in algorithmic decision making systems. In this post I wanted to share some personal thoughts on this issue, especially in relation the introduction of “AI” systems.
Continue reading Why personalization systems discriminate
On the week-end of June 30th and July 1st, the UnBias team hosted a two-day hackathon at Codebase in Edinburgh, with support from local outfit Product Forge, whose experience organizing such events is unrivalled in Scotland.
The hackathon challenge was formulated as follows:
“Artificial Intelligence shapes digital services that have become central to our everyday lives. Online platforms leverage the power of AI to monetize our attention, with often unethical side-effects: our privacy is routinely breached, our perception of the world is seriously distorted, and we are left with unhealthy addictions to our screens and devices. The deep asymmetry of power between users and service providers, the opacity and unaccountability of the algorithms driving these services, and their exploitation by trolls, bullies and propagandists are serious threats to our well-being in the digital era.
Continue reading Unbias Hackathon