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Register to vote Register by 18 June to vote in the General Election on 4 July.
The Media Literacy Programme Fund awards grant funding to organisations undertaking media literacy activity that tackles the media literacy challenges in the Online Media Literacy Strategy.
This independent report presents an overview of challenges facing high quality journalism in the UK, putting forward recommendations to help secure its future.
Find out how and why public sector organisations use AI and algorithmic tools for decision making.
The Intellectual Property Office offers different methods of accelerating the processing of your patent application.
Research led by the Centre for Data Ethics and Innovation into recommendation algorithms used by streaming services
Collection of previous versions of the Algorithmic Transparency Recording Standard.
Learn how to publish accessible documents to meet the needs of all users under the accessibility regulations.
This research shows positive and negative impacts of different algorithmic designs on consumer choice and the economy.
Summary of the government's ongoing programme of work addressing key issues identified by the DCMS Select Committee’s Inquiry into the Economics of Music Streaming, including an indicative timeline for upcoming milestones.
The government is today investing a total of £45 million in the UK's quantum sector - as part of its commitment to transforming into a quantum-enabled economy by 2033 – seizing this technology’s potential to overhaul healthcare, energy, transport and...
Applications received to amend the specification of a patent under sections 27 and 75 before the court and the Office.
An algorithm to assist in the identification of digital records of long-term historic value and digital information assets that hold no long-term value.
This report, commissioned by the CDEI, outlines the findings from a deliberative public engagement exercise conducted by BritainThinks about algorithmic transparency in the public sector.
The Centre for Data Ethics and Innovation seeks evidence to support its reviews into online targeting and bias in algorithmic decision making.
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