Category Archives: Uncategorized

Roundtable on Uses of Artificial Intelligence in the Criminal Justice System

To what extent can AI/statistical systems support the criminal justice process? Can we rely on algorithmic calculations to help us make decisions about whether an offender should receive a prison sentence? Are sentencing decisions made by statistical systems more or less likely to be flawed than those made by humans? As the use of AI in criminal justice systems around the world continues to grow, these questions become more and urgent to discuss – and were the focus of a recent roundtable discussion held at Oxford.

 

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Algorithms and the persuasion machine

In the current BBC series Secrets of Silicon Valley Jamie Bartlett (technology writer and Director of the Centre for Social Media Analysis at Demos) explores the ‘dark reality behind Silicon Valley’s glittering promise to build a better world.’ Episode 2, The Persuasion Machine, shines a spotlight on several of the issues we are investigating in UnBias.

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A Month of Conferences and Workshops

June was a month of conferences and workshops for UnBias. The 3rd UnBias project meeting on June 1st, hosted by our Edinburgh partners this time, was quickly followed by the Ethicomp and EuroDIG conferences which both took place from June 5th to 8th.

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UnBias project contribution to the 4th Winchester Conference on Trust, Risk, Information and the Law

The 4th Winchester Conference on Trust, Risk, Information and the Law took place at the University of Winchester on Wednesday 3rd May 2017. The overarching theme of the day was “Artificial and De-Personalised Decision-Making: Machine-Learning, A.I. and Drones”: offering a chance for multi-stakeholder and interdisciplinary discussion on the risks and opportunities presented by algorithms, machine learning and artificial intelligence.

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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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How hard is to be fair in multi-user combinatorial scenarios?

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.

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