Tag Archives: Policy

Presentation of “a governance framework for algorithmic accountability and transparency” at the European Parliament

On October 25th we presented our Science Technology Options Assessment (STOA) report on “a governance framework for algorithmic accountability and transparency” to the Members of the European Parliament and the European Parliament Research Services “Panel for the Future of Science and Technology.

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Age-Appropriate Design Code – call for evidence by the ICO

5Rights report: ‘Digital Childhood: Addressing Childhood Development Milestones in the Digital Environment’

As of May 25th 2018 the Data Protection Act 2018 (DPA2018) has taken effect in the UK, supporting and supplementing the implementation of the EU General Data Protection Regulation (GDPR).

An important requirement in the DPA2018, going beyond the GDPR, is the inclusion of an Age Appropriate Design Code (section 123 of DPA2018) to provide guidance on the design standards that the Information Commissioner’s Office (ICO) will expect providers of online ‘Information Society Services’ (ISS), which are likely to be accessed by children, to meet.

The ICO is responsible for drafting the Code and has issued a call for evidence is the first stage of the consultation process.

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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.