Fair machine learning techniques and the problem of transparency

An important topic considered this year at the International Conference on Neural Information Processing Systems (NIPS), one of the prime outlets for machine learning and Artificial Intelligence research in the world, is the connection between machine learning, law and ethics. In particular, a paper presented by Moritz Hardt, Eric Price, and Nathan Srebro focused on Equality of Opportunity in Supervised Learning.

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2016, an eventful year for algorithms

For algorithm based systems, as with many other topics, 2016 turned out to be an eventful year. As we close the year and look back on events, the course of 2016 brought many of the issues we intend to address in the UnBias project to the attention of people and organizations who previously perhaps had not considered these things before.

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Algorithms Transparency and Accountability in the Digital Economy event at the European Parliament

page-shot-2016-11-10-event-07-11-algorithmic-accountability-and-transparencyOn November 7th I attended the Algorithms Transparency and Accountability in the Digital Economy roundtable event that was organized by MEP Marietje Schaake for the purpose of “discussing which options the European Union has to improve the accountability and/or the transparency of the algorithms that underpin many business models and platforms in the digital single market.”

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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.

Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy