CDEI research pinpoints barriers to trustworthy AI exploitation
A survey of UK enterprise by the government-backed Centre for Data Ethics and Innovation (CDEI) has thrown a lightweight on the patchiness of synthetic intelligence (AI) and data-driven expertise adoption.
The survey of just about 1,000 organisations reveals decrease adoption in healthcare companies (12%), contrasting with digital and communications, the place one in 5 use AI, albeit solely 4% extensively.
The research reveals a spread of barriers to AI exploitation, mainly relating to information sharing. Some 70% stated they needed extra data to assist them discover their approach round authorized necessities regarding information assortment, use and sharing. Nearly 1 / 4 (23%) cited issue accessing high quality information as a barrier and 43% highlighted restricted technological capabilities.
The survey was carried out for the CDEI by Ipsos Mori amongst 965 companies throughout eight sectors, between March and May 2021.
The centre has additionally developed an “AI barometer”, knowledgeable by greater than 80 AI specialists, and has printed the second version of it. This report is alleged to establish areas the place there are “untapped opportunities for innovation in three key sectors which have been particularly affected by the Covid-19 pandemic”, stated the CDEI.
These are in: transport and logistics, with “opportunities to improve energy efficiency, drive down emissions, and yield better environmental outcomes, as well as smooth trade flows at borders”; in recruitment and employment, the place “data-driven innovation has the potential to improve talent pipelines, enable greater access to job opportunities and reduce bias and discrimination”; and in training, the place the centre pointed to “the potential to reduce the administrative burden on teachers and increase social mobility”.
The CDEI stated it’s working hand in glove with DCMS [the Department for Digital, Culture, Media and Sport] to ship the National Data Strategy and “enable trustworthy access to quality data”, by exploring new approaches to information governance, resembling data intermediaries, and rising technical options, together with via a brand new UK-US R&D effort to mature privacy-enhancing technologies.
Chris Philp, minister for expertise and the digital economic system, stated: “Data and AI might be harnessed to help each our financial and social restoration. Understanding how we will greatest use applied sciences to deal with main shifts in labour markets and the ways in which we work, ship training or decarbonise our transport infrastructure, can be essential to this mission.
“I look forward to working with organisations across the UK to address the barriers to innovation highlighted in the CDEI’s analysis, so that the UK can unlock the full potential of data and AI.”
Edwina Dunn, interim chair on the CDEI, stated: “Data and AI can help tackle some of the greatest challenges of our time. To achieve this, we need to overcome barriers to innovation, such as poor-quality data, and address risks, such as algorithmic bias. The CDEI is working in partnership with a range of organisations to help them overcome these barriers, mitigate risk and put high-level ethical principles – such as accountability and transparency – into practice. It is practical work like this that will enable us to build greater public trust in how data and AI are used.”
The CDEI printed a “roadmap” for AI assurance within the UK earlier this month. The doc describes what ought to be finished to confirm that AI programs are efficient, trustworthy and compliant. It constitutes one of many commitments set out within the authorities’s National AI Strategy, which was printed in September 2021.
