1/14 We commissioned @DeltapollUK to conduct a longitudinal survey between June-December 2020, with a representative sample of over 12,000 people, to better understand #publicattitudes towards the use of #datadriventechnology during COVID-19. See below for key findings 👇
2/14 Unsurprisingly, people reported that their use of technology has increased since the start of COVID-19. This finding was consistent across demographics and the 6-month period. Individuals indicated that they were planning on using this technology in the long-term.
3/14 Despite the increase in the use of technologies, the proportion of the UK public who had taken proactive measures to manage their data or online experience was fairly low, with 26% of the population saying they had done none of the protective measures listed.
4/14 We found significant public support for the use of data-driven technology. Almost three quarters (72%) of the UK population felt that digital technology had the potential to be used in the response to COVID-19. This sentiment was shared across demographic groups.
5/14 A majority of the public (average 69%) also showed support, in principle, for a number of specific use-cases - including technologies that have not been widely adopted - such as wearable technology to aid social distancing in the workplace.
6/14 There was a high level of perceived usefulness of the three use-cases tested. Of these use-cases, there was highest support for the use of personal data to inform local lockdowns. This fell, alongside the other two use-cases, in late 2020.
7/14 Despite the public support we have seen, many respondents felt that the potential of data-driven technology was not being fully realised. Less than half (42%) said digital technology was making the situation in the UK better (only 7% claimed it was making matters worse).
8/14 Respondents cited concerns about whether people and organisations would be able to use technology properly (39%). This was more than double the number who pointed to problems with the technology itself (17%).
9/14 This points to an opportunity gap - a disconnect between support for technology’s potential, and the extent of its current application.
10/14 Another key finding was the link between trust in governance and support for the use of technology. We found that trust in governance is the single biggest predictor of whether someone will support the use of digital technology.
11/14 When controlling for all other variables, trust in governance was substantially more predictive than attitudinal variables such as people's level of concern about the pandemic or belief that technology would be effective; and demographic variables such as age and education.
12/14 While a reasonable proportion of the public (43%) trust that the right governance is in place to ensure that digital technology is used responsibly in the UK’s COVID-19 response, nearly a quarter (24%) disagreed.
13/14 This analysis suggests the critical importance of building and maintaining trustworthy governance that earns the confidence of citizens over the long-term.
1/4 Some positive news to kick off the week - we're hiring @CDEIUK! There are roles available across both our #policy and #strategy teams. If you're ambitious, articulate and curious about #AI and #datadriventechnology, please check out the roles in this thread and apply!
2/4 Are you interested in the risks and opportunities posed by #AI and #datadriventechnology? Do you have strong verbal and written communication skills? If so, one of our Policy Advisor roles might be right for you! Find out more here: tinyurl.com/y43ffzje
3/4 We’re looking for 3x Senior Policy Advisors to join teams across @CDEIUK. Are you capable of analysing #complex issues to reach clear and balanced conclusions? Do you have excellent #projectmanagement skills? Find out how to apply here: tinyurl.com/y554k3ul
1/7 #AI and #datadriventechnology has the potential to address society’s greatest challenges. It presents concrete opportunities for: operating an efficient green energy grid; identifying and tracking public health risks at speed; and tackling misinformation #AIBarometer
2/7 Some opportunities associated with AI and data are, however, easier to realise than others. ‘Easier to achieve’ innovations tend to involve the use of AI and data to free up time for professional judgement, improve backoffice efficiency and enhance customer service.
3/7 ‘Harder to achieve’ innovations, in contrast, involve the use of AI and data in high stakes domains that often require difficult trade-offs (eg police forces seeking to use facial recognition must balance the desire for greater security with the need to protect privacy).