AI Research
Uber Eats Debuts AI Features for Restaurants
Uber Eats has debuted a series of artificial intelligence (AI) features for restaurants.
Graham FraserTechnology reporter
PAThe chief executive of the UK’s national institute for artificial intelligence (AI) has resigned following staff unrest and a warning the charity was at risk of collapse.
Dr Jean Innes said she was stepping down from the Alan Turing Institute as it “completes the current transformation programme”.
Her position has come under pressure after the government demanded the centre change its focus to defence and threatened to pull its funding if it did not – leading to staff discontent and a whistleblowing complaint submitted to the Charity Commission.
Dr Innes, who was appointed chief executive in July 2023, said the time was right for “new leadership”.
The BBC has approached the government for comment.
The Turing Institute said its board was now looking to appoint a new CEO who will oversee “the next phase” to “step up its work on defence, national security and sovereign capabilities”.
Its work had once focused on AI and data science research in environmental sustainability, health and national security, but moved on to other areas such as responsible AI.
The government, however, wanted the Turing Institute to make defence its main priority, marking a significant pivot for the organisation.
“It has been a great honour to lead the UK’s national institute for data science and artificial intelligence, implementing a new strategy and overseeing significant organisational transformation,” Dr Innes said.
“With that work concluding, and a new chapter starting… now is the right time for new leadership and I am excited about what it will achieve.”
What happened at the Alan Turing Institute?
Founded in 2015 as the UK’s leading centre of AI research, the Turing Institute, which is headquartered at the British Library in London, has been rocked by internal discontent and criticism of its research activities.
A review last year by government funding body UK Research and Innovation found “a clear need for the governance and leadership structure of the Institute to evolve”.
At the end of 2024, 93 members of staff signed a letter expressing a lack of confidence in its leadership team.
In July, Technology Secretary Peter Kyle wrote to the Turing Institute to tell its bosses to focus on defence and security.
He said boosting the UK’s AI capabilities was “critical” to national security and should be at the core of the institute’s activities – and suggested it should overhaul its leadership team to reflect its “renewed purpose”.
He said further government investment would depend on the “delivery of the vision” he had outlined in the letter.
This followed Prime Minister Sir Keir Starmer’s commitment to increasing UK defence spending to 5% of national income by 2035, which would include investing more in military uses of AI.
Getty ImagesA month after Kyle’s letter was sent, staff at the Turing institute warned the charity was at risk of collapse, after the threat to withdraw its funding.
Workers raised a series of “serious and escalating concerns” in a whistleblowing complaint submitted to the Charity Commission.
Bosses at the Turing Institute then acknowledged recent months had been “challenging” for staff.
AI Research
Global Working Group Releases Publication on Responsible Use of Artificial Intelligence in Creating Lay Summaries of Clinical Trial Results
New publication underscores the importance of human oversight, transparency, and patient involvement in AI-assisted lay summaries.
BOSTON, Sept. 4, 2025 /PRNewswire/ — The Center for Information and Study on Clinical Research Participation (CISCRP) today announced the publication of a landmark article, “Considerations for the Use of Artificial Intelligence in the Creation of Lay Summaries of Clinical Trial Results” , in Medical Writing (Volume 34, Issue 2, June 2025). Developed by the working group, Patient-focused AI for Lay Summaries (PAILS) , this comprehensive document addresses both the opportunities and risks of using artificial intelligence (AI) in the development of plain language communications of clinical trial results.
Lay summaries (LS) are essential tools for translating complex clinical trial results into plain language that is clear, accurate, and accessible to patients, caregivers, and the broader community. As AI technologies evolve, they hold promise for streamlining LS creation, improving efficiency, and expanding access to trial results. However, without thoughtful integration and oversight , AI-generated content can risk inaccuracies, cultural insensitivity, and loss of public trust.
For biopharma sponsors, CROs, and medical writing vendors, this framework offers clear, best practices for integrating AI responsibly while maintaining compliance with EU and UK lay summary regulations and improving efficiency at scale.
Key recommendations from the working group include:
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Human oversight is essential – AI should support, not replace, expert review to ensure accuracy, clarity, and cultural sensitivity.
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Prompt Engineering is a Critical Skillset – Thoughtful, specific prompts – including instructions on tone, reading level, terminology, structure, and disclaimers – can make the difference between usable and unusable drafts.
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Full transparency of AI involvement – Disclosing when and how AI was used builds public trust and complies with emerging regulations such as the EU Artificial Intelligence Act.
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Robust governance frameworks – Policies should address bias, privacy, compliance, and ongoing monitoring of AI systems.
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Patient and public involvement – Including patient perspectives in review processes improves relevance and comprehension.
“This considerations document is the result of thoughtful collaboration among industry, academia , and CISCRP.” said Kimbra Edwards, Senior Director of Health Communication Services at CISCRP. “By combining human expertise with AI innovation, we can ensure that clinical trial information remains transparent, accurate, and truly patient-centered.”
Nursa Intelligence Assistant enables rapid posting of single or bulk shifts
SALT LAKE CITY, September 04, 2025–(BUSINESS WIRE)–Nursa, a nationwide platform that exists to put a nurse at the bedside of every patient in need, today announced the launch of an artificial intelligence assistant that enables healthcare facilities to rapidly generate shift listings within the Nursa platform. The first-of-its-kind smart scheduling tool helps organizations post single or bulk shifts within seconds so they can reach qualified, available clinicians immediately.
Active now within the Nursa platform, the Nursa Intelligence Assistant or “NIA,” allows post creation three ways: users can speak directly to NIA, describing their shift needs; they can take a photo of relevant shift information, even if it’s a handwritten scribble; and they can upload any spreadsheet or file used to track scheduling. From there, NIA fills in the details, letting users review and edit, and confirm pricing, before posting.
Carlee Scholl, staffing coordinator at Sullivan Park Care Center in Spokane, Wash., manages up to 150 shifts per month and recently began using NIA to schedule individual and bulk shifts. She described the experience as quick and accurate, with the AI assistant capturing all the details perfectly. “I just looked it over to make sure it was everything that I needed,” she said. “It was spot on.”
“Artificial Intelligence is opening up new opportunities to streamline cumbersome workflows so healthcare facilities can focus on the important business of delivering quality patient care,” said Curtis Anderson, CEO and founder of Nursa. “With NIA, facilities eliminate the repetitive typing and data entry of shift posting by generating one or thousands of shifts in just seconds. We’re redefining what fast and easy staffing feels like, and this is just the beginning.”
For more information on how Nursa helps healthcare facilities, hospitals and health systems solve staffing needs with qualified clinicians, visit nursa.com.
About Nursa
Nursa is a nationwide platform that exists to put a nurse at the bedside of every patient in need, removing the financial strain and operational gaps of traditional staffing agencies. Nursa’s technology enables hospitals, health systems, skilled nursing facilities and community organizations to easily secure reliable, qualified, nursing talent for per diem shifts and contract work. Founded in 2019 and headquartered in Salt Lake City, Nursa is trusted by a growing community of more than 3,400 facilities and 400,000 nurses nationwide and is accredited by The Joint Commission. For more information, visit nursa.com.
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