POST has published 20 COVID-19 Areas of Research Interest (ARIs) for the UK Parliament. ARIs were identified using the input of over 1,000 experts. They were then ranked in order of interest to UK Parliament research and select committee staff, following internal feedback. Each ARI comes with a series of questions aiming to further break down each broad area. The ARIs focus on the impacts of the global pandemic and range from economic recovery and growth, to surveillance and data collection, long-term mental health effects, education, vaccine development, and the NHS.
Documents to download
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Data encryption,October 2006 (124 KB, PDF)
Documents to download
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Data encryption,October 2006 (124 KB, PDF)
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Machine learning (ML, a type of artificial intelligence) is increasingly being used to support decision making in a variety of applications including recruitment and clinical diagnoses. While ML has many advantages, there are concerns that in some cases it may not be possible to explain completely how its outputs have been produced. This POSTnote gives an overview of ML and its role in decision-making. It examines the challenges of understanding how a complex ML system has reached its output, and some of the technical approaches to making ML easier to interpret. It also gives a brief overview of some of the proposed tools for making ML systems more accountable.
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Over 350 experts have shared with us what they think the implications of the COVID-19 pandemic will be in the next 2 to 5 years. This work was done to inform the House of Lords COVID-19 Committee inquiry on Life beyond COVID, and is based on 366 expert responses. Areas of concern include work and employment, health and social care, research and development, society and community, the natural environment, education, arts, culture and sport, infrastructure and crime and justice.
