Horizon scanning
How technology is accelerating changes in the way we work
Many organisations have turned to technology during the COVID-19 pandemic to aid social distancing. Could ongoing automation reinforce existing inequalities?
Horizon scanning
Many organisations have turned to technology during the COVID-19 pandemic to aid social distancing. Could ongoing automation reinforce existing inequalities?
Horizon scanning
Flexible working could increase wellbeing and productivity, but benefits are not equally distributed throughout the population and could increase inequalities.
Horizon scanning
The use of social media raises questions around security, state regulation, privacy, and online safety. How can states balance regulation and personal freedom?
Horizon scanning
Artificial intelligence could change policing. But the efficacy of such technologies is not well established. What are the governance and privacy concerns?
Horizon scanning
Many innovations have improved the COVID-19 response and could be key for future-proofing against pandemics. What are the governance and privacy concerns?
Horizon scanning
Political polarisation could affect political participation. How do inequality and socioeconomic factors intersect with extremism?
Rapid response
There have been large volumes of inaccurate information about COVID-19 circulating since the beginning of the pandemic, including misinformation about vaccinations against the infection. This article looks at the types and sources of COVID-19 vaccine misinformation and its public health impact. It also looks at the different approaches being used to fight COVID-19 vaccine misinformation, such as social media content moderation and guidance for the public.
POSTnote
There are various applications of Artificial Intelligence (AI) in healthcare, such as helping clinicians to make decisions, monitoring patient health, and automating routine administrative tasks. This POSTnote gives an overview of these uses, and their potential impacts on the cost and quality of healthcare, and on the workforce. It summarises the challenges to wider adoption of AI in healthcare, including those relating to safety, privacy, data-sharing, trust, accountability and health inequalities. It also outlines some of the regulations relevant to AI, and how these may change. As healthcare is a devolved issue, policies on healthcare AI differ across the UK. This POSTnote focusses on regulations and policies relevant to England.
Rapid response
The digital divide is the gap between people in society who have full access to digital technologies (such as the internet and computers) and those who do not. Concerns about the digital divide have been particularly acute during the COVID-19 pandemic as the internet and digital devices have played an important role in allowing people to access services, attend medical appointments and stay in touch with friends and family. What impact has the digital divide had on children and adults in the UK during the COVID-19 pandemic and what has been done to tackle it?
POSTnote
Devices with screens include game consoles, laptops and televisions. Screen use refers to activities undertaken on such devices and the time spent on them. Children’s screen use has increased over the past decade. Policy-makers and parents have expressed concerns about possible effects of screen use on children/young people’s development and health. This POSTnote provides an overview of how children/young people use screens, the opportunities and risks of this use, evidence on the possible effects on health and development, and evidence on ways to support healthy screen use.
Rapid response
The use of technology to perpetrate domestic abuse, referred to as tech abuse, has become increasingly common. Domestic abuse charity Refuge reported that in 2019, 72% of women accessing its services said that they had been subjected to technology-facilitated abuse. Common devices such as smartphones and tablets can be misused to stalk, harass, impersonate and threaten victims. Some groups have raised concerns that the growing use of internet-connected home devices (such as smart speakers) may provide perpetrators with a wider and more sophisticated range of tools to harm victims. How is technology being used to perpetrate domestic abuse, how can this be prevented and what role can technology play in supporting victims?
Rapid response
People’s behaviour has a major role in the success of test, trace and isolate programmes. Uncertainty about whether to report symptoms, low perceived risk of COVID-19 disease and concerns about the consequences of self-isolation are among the barriers to adherence. Has the Scientific Advisory Group for Emergencies looked at adherence to TTI? What evidence is there on people’s understanding and willingness to be tested, provide contact details and self-isolate? Is there anything that can be done to improve this?
Rapid response
Test, trace and isolate programmes across the UK are under pressure as COVID-19 cases rise in all age groups and demand for tests grows. Further pressure comes from people seeking tests because they have symptoms caused by other respiratory viruses but need a test in order to rule out COVID-19. The Scientific Advisory Group on Emergencies has described the impact of current test and tracing on the transmission of the virus as “marginal”. How does test and trace work and what are the current challenges limiting its effectiveness in reducing COVID-19 cases?
Horizon scanning
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.
POSTnote
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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