On 16th April the House of Select Committee on Artificial Intelligence published a report called ‘AI in the UK: ready, willing and able?”. The report is based on an inquiry by the House of Lords conducted to consider the economic, ethical and social implications of advances in artificial intelligence. UnBias team member Ansgar Koene submitted written evidence based on the combined work of the UnBias investigations and our involvement with the development of the IEEE P7003 Standard for Algorithmic Bias Considerations.

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UnBias Ethicon!

Earlier this year the UnBias team ran its first Ethicon. An Ethicon is a new kind of event developed by members of the Human Centred Computing theme at Oxford. It works as a twist on the traditional hackathon; it is geared towards forefronting ethical issues alongside design issues in the completion of a task.

In an Ethicon teams work together to carry out a competitive design task. In addition to thinking about technical features of design they are required to address the social and ethical implications of the particular technology involved. They are challenged to identify novel and creative solutions that embed ethical considerations into their design. Teams are interdisciplinary so that they can share expertise and learn from each other in a fun environment. They are then assessed by a panel of experts who judge the technical quality of their work alongside how well they have worked together to identify and address ethical concerns.

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European Commission initiatives to explore regulatory requirements for AI

On March 5th and 6th UnBias had the pleasure of participating in a workshop that was organized to signal the launch of the European Commission’s Joint Research Center’s HUMAINT (HUman behaviour and MAchine INTelligence ) project.

The HUMAINT project is a multidisciplinary research project that aims to understand the potential impact of machine intelligence on human behaviour. A particular focus of the project lies on human cognitive capabilities and decision making. The project recognizes that machine intelligence may provide cognitive help to people, but that algorithms can also affect personal decision making and raise privacy issues.

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Responsible Data Science at Royal Society Bilateral UK-NL workshop

From 21st to 22nd February the Royal Society and the Royal Netherlands Academy of Arts and Sciences (KNAW) held a UK – Netherlands bilateral international meeting to explore common research interests in the fields of Quantum Physics and Technology, Nanochemistry and Responsible Data Science. UnBias was pleased to participate as part of the Responsible Data Science stream.

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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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Digital Democracy: Critical Perspectives in the Age if Big Data

Some of us attended a joint conference of the ECREA (European Communications Research and Education Association) Communication and Media Industries, on the 10th-11th November in Stockholm. About 100 people, mainly academics, researchers from NGOs and media consultants from Europe and the US, took part.

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Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy