Data and society

With the latest models achieving top scores in scientific and diagnostic reasoning tests, they could usher in a new era of growth. In our previous report w

On 24 December 2024, the United Nations (UN) General Assembly adopted Resolution A/RES/79/239 on Artificial intelligence in the military domain and its implications for international peace and security. The UN Secretary-General recently invited Member States, observer States, international and regional organizations, the International Committee of the Red Cross, civil society, industry and the scientific community

Every day artificial intelligence (AI) is showing how important it is to the future of the NHS across the capital. From improving diagnosis rates to faster automation of patient registrations and more accurate patient referral support tools. The new AI Framework launched today (3 March 2025) will help the NHS to deliver safe and ethical […]

Artificial intelligence (AI) is ushering in an era of potential transformation in various fields, especially in educational communication technologies, with tools like ChatGPT and other generative AI (GenAI) applications. This rapid proliferation and adoption of GenAI tools have sparked significant interest and concern among college professors, who are dealing with evolving dynamics in digital communication within the classroom. Yet, the effect and implications of GenAI in education remain understudied. Therefore, this study employs the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) as theoretical frameworks to explore higher education faculty’s perceptions, attitudes, usage, and motivations, as the underlying factors that influence their adoption or rejection of GenAI tools. A survey was conducted among full-time higher education faculty members (N = 294) recruited from two mid-size public universities in the US. Results found that college professors’ perceived usefulness of AI predicted their attitudes and intention to use and adopt the technology, more than their perceived ease of use. Trust and social reinforcement strongly influenced college professors’ GenAI adoption decisions and acted as significant mediators to better understand the relationship between TAM and SCT. Findings emphasized the power of social dynamics in shaping professors’ self-efficacy, attitudes, and use of GenAI. Trust enhances peer influence and affects how perceived usefulness shapes users’ willingness to adopt technology, whereas self-efficacy has a minimal impact. This research provides valuable insights that inform higher education policies aimed at improving the educational experience for college students in an AI-driven workforce.

AI Can Cut NHS Wait Times and save £340m a year by improving triage, creating a better patient experience, TBI report Finds

This is a project funded by the National Institute for Health and Care Research (NIHR) School for Social Care Research (SSCR).It aims to provide a unified source of access to data from over 50 sources in the Uk enabling easy profession of information and cross comparison. Filter by study design and measure. All aspects of social care are covered.

This report summarizes higher education’s experiences related to AI strategy and leadership, policies and guidelines, use cases, the higher education

Developers have tricks to stop artificial intelligence from making things up, but large language models are still struggling to tell the truth, the whole truth and nothing but the truth.

Just over a decade ago, the ORCID (Open Researcher and Contributor Identifier) was created to provide a unique digital identifier for researchers around the world. The ORCID has proven essential in identifying individual researchers and their publications, both for bibliometric research analyses and for universities and other organizations tracking the research productivity and impact of their personnel. Yet widespread adoption of the ORCID by individual researchers has proved elusive, with previous studies finding adoption rates ranging from 3% to 42%. Using a national survey of U.S. academic researchers at 31 research universities, we investigate why some researchers adopt an ORCID and some do not. We found an overall adoption rate of 72%, with adoptions rates ranging between academic disciplines from a low of 17% in the visual and performing arts to a high of 93% in biological and biomedical sciences. Many academic journals require an ORCID to submit a manuscript, and this is the main reason why researchers adopt an ORCID. The top three reasons for not having an ORCID are not seeing the benefits, being far enough in the academic career to not need it, and working in an academic discipline where it is not needed.

Cybersecurity and privacy maturity assessment and strengthening for digital health information systems (WHO/Europe)
https://www.who.int/europe/publications/i/item/WHO-EURO-2025-11827-51599-78854
This guide focuses on cybersecurity and privacy risk assessments in digital health, as tailored to the WHO European Region. It provides a framework for technical audiences to develop risk assessment specifications suited to the unique needs and goals of their organizations and countries in order to comply with country-specific cybersecurity and privacy regulations. The assessment questionnaire that forms part of the assessment methodology is also available in the form of a Microsoft Excel spreadsheet and is published as a separate web annex.

This brief examines young people's views on Generative AI's impact on their lives and its potential influence on the future generations.

In a follow-up to her post on transparency in AI, LSE HE Blog Fellow Maha Bali brings together a range of voices that highlight various factors related to this issue: care, trust, human agency, criticality, and addressing systemic problems As part of my previous blogpost, When it comes to AI, is transparency enough?, I ran a survey to better

This report, produced by Ipsos UK and the Institute of Public Care, on behalf of DHSC, provides a strong evidence base for both policy-makers and care providers to better understand the cyber security risk within the care sector.

a national survey conducted in January 2025 by Elon University’s Imagining the Digital Future Center. Since the launch of ChatGPT on Nov. 30, 2022, the spread of LLM usage in this country represents one of the fastest, if not the fastest, adoption rates of a major technology in history.

The growth and spread of these AI systems in the U.S. population are especially striking for their diversity. Younger, well-educated, relatively wealthy, and employed adults are somewhat more likely than others to be using LLMs now. Yet, it is also the case that half of those living in households earning less than $50,000 (53%) use the tools. Moreover, Hispanic adults (66%) and Black adults (57%) are more likely than White adults (47%) to be LLM users.

Lessons from six years of studying AI in the public sector

Almost nine in ten of England’s largest councils are using artificial intelligence (AI), but say a lack of staff capacity, funding and training is holding back local authorities rolling out this technology more widely. With the government this year promising to ‘turbocharge’ AI usage over the next decade, the County Councils Network (CCN) says that […]

American workers have mixed feelings about how AI technologies, like ChatGPT, will affect jobs in the future.