Tag Archives: Policy

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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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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USACM Panel on Algorithm Transparency and Accountability

USACM, the ACM U.S. Public Policy Council, will be hosting a panel event on “Algorithmic Transparency and Accountability.” The event will provide a forum for a discussion between stakeholders and leading computer scientists about the growing impact of algorithmic decision-making on our society and the technical underpinnings of algorithmic models.

Panelists will discuss the importance of the Statement on Algorithmic Transparency and Accountability and the opportunities for cooperation between academia, government and industry around these principles.

UnBias submissions to UK Parliamentary inquiries on “Fake News” and “Algorithms in decision-making”

Prior to the June 8th snap election there were two Commons Select Committee inquiries that both touched directly on our work at UnBias and for which we submitted written evidence. One on “Algorithms in decision-making” and another on “Fake News”.

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EuroDIG 2017

About

EuroDIG 2017 will take place in Tallinn, 6-7 June and will be hosted by the Ministry of Foreign Affairs of the Republic of Estonia. EuroDIG is not a conference, it is a year round dialogue on politics and digitisation across the whole European continent which culminates in an annual event. More about EuroDIG.

Pre- and side-events

A number of pre and side events will be enriching the EuroDIG programme.  European organisations will organise meetings on day zero 5th June and the European Commission opens the High Level Group on Internet Governance Meeting on 8th June to the public.

Participate!

Our slogan is “Always open, always inclusive and never too late to get involved!”

Org Teams did their best to facilitate the ground for in depth multistakeholder discussion and our Estonian host, the Ministry of Foreign Affairs, worked hard to give you a warm welcome!

Now it is up to you to engage in the discussion – the floor is always open! A first opportunity will be the open mic session, the first session after the welcome.

We would like to hear from YOU: How I am affected by Internet governance?

No chance to travel to Tallinn?

No problem! We are in Estonia, the most advanced country in Europe when it comes to digital futures! For all workshops and plenary sessions we provide, video streaming (passive watching), WebEx (active remote participation) and transcription. Transcripts and videos will be provided at the EuroDIG wiki after the event. Please connect via the links provided in the programme.

UnBias at EuroDIG

UnBias is contributing to EuroDIG 2017 by running a Flash session on “Accountability and Regulation of Algorithms” and as part of the organizing team for the Plenary session of “Internet in the ‘post-truth’ era?“.

Looking forward to seeing you there!

The first IEEE P7003™ Working Group meeting

IEEE Standards Association (IEEE-SA) invites your participation in the IEEE P7003™, Standard for Algorithmic Bias Considerations Working Group.

Why get involved: 

The goal of this Standard Project is to describe specific methodologies that can help users certify how they worked in order to address and eliminate issues of negative bias in the creation of their algorithms. “Negative bias” refers to the usage of overly subjective or uniformed data sets or information known to be inconsistent with legislation concerning certain protected characteristics (such as race, gender, sexuality, etc.); or with instances of bias against groups not necessarily protected explicitly by legislation, but otherwise diminishing stakeholder or user wellbeing and for which there are good reasons to be considered inappropriate.

Who should participate:

Programmers, manufacturers, researchers or other stakeholders involved in creating an algorithm along with any stakeholders defined as end users of the algorithm, and any non-user affected by the use of the algorithm, including but not limited to customers, citizens or website visitors

How to Participate:

If you wish to participate in the IEEE P7003™ Working Group, please contact the Working Group Chair, Ansgar Koene.

Meeting Information:

The first IEEE P7003™ Working Group meeting will be held online via (WebEx) on Friday, 5 May from 9:00 AM – 11:00 AM (EST)

REGISTER FOR MEETING

If you cannot attend the meeting and want to be added to the distribution list please fill out this form.

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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