Category Archives: project update

Publication of 1st WP4 workshop report

We are please to announce that the report summarizing the outcomes of the first UnBias project stakeholder engagement workshop is now available for public dissemination.

The workshop took place on February 3rd 2017 at the Digital Catapult centre in London, UK. It brought together participants from academia, education, NGOs and enterprises to discuss fairness in relation to algorithmic practice and design. At the heart of the discussion were four case studies highlighting fake news, personalisation, gaming the system, and transparency.

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IEEE Standard for Algorithm Bias Considerations

As part of our stakeholder engagement work towards the development of algorithm design and regulation recommendations UnBias is engaging with the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems to develop an IEEE Standard for Algorithm Bias Considerations, designated P7003. The P7003 working group is chaired by Ansgar Koene and will have its first web-meeting on May 5th 2017.

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Invitation to participate in stakeholder engagement workshops

unbias-logo2We invite stakeholders from academia, education, government/regulatory oversight organizations, civil society, media, industry and entrepreneurs to  contribute to our ongoing research study by taking part in a small number of stakeholder engagement workshops. These workshops will explore the implications of algorithm-mediated interactions on online platforms. They provide an opportunity for relevant stakeholders to put forward their perspectives and discuss the ways in which algorithms shape online behaviours, in particular in relation to access and the dissemination of information to users. The workshops will provide an excellent opportunity for participants to exchange ideas and explore solutions with perspectives from a wide range of stakeholders. Following each workshop the participants will receive an anonymized report of the outcomes, which will contribute to the production of policy recommendations as well as the design of a ‘fairness toolkit’ for users, online providers and other stakeholders.

Further information and details about the workshops is available at the WP4 Invitation for stakeholder engagement page.

Introducing: UnBias

Businesswoman idea concept on blackboard

In an age of ubiquitous data collecting, analysis and processing, how can citizens judge the trustworthiness and fairness of systems that heavily rely on algorithms? News feeds, search engine results and product recommendations increasingly use personalization algorithms to help us cut through the mountains of available information and find those bits that are most relevant, but how can we know if the information we get really is the best match for our interests?

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