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1. Report: 100% of lawyers in larger firms use AI in their workflows
The International Bar Association and the Center for AI and Digital Policy’s September 2024 report, The Future Is Now: Artificial Intelligence in the Legal Profession, found that 100 per cent of firms with more than 500 lawyers reported using AI in their workflow. By contrast, 68 per cent of smaller firms with up to 100 lawyers said they were not using AI at all. A total of 74 per cent of respondents believe that fully implementing AI could potentially replace some roles within their firms.
The NHS has made significant progress with implementing AI technologies to streamline and enhance care pathways for stroke patients, with all 107 stroke centres across England using AI to support brain scan interpretation. This helps clinicians to make faster decisions, enabling patients to receive the potentially lifesaving treatments that improve their outcomes. Using AI has seen a 60-minute reduction in the time between stroke presentation and treatment, with the number of stroke patients recovering with no or only slight disability increasing from 16 per cent to 48 per cent.
3. AIaMD, an NHS AI tool, could deliver an ROI of up to £2.30 for every £1 invested
An NHS-commissioned report found that the use of AIaMD – which stands for Artificial Intelligence as a Medical Device – achieved a net present value (NPV) of 99.8 per cent, which is “at least as good as that of face-to-face dermatologist evaluations”. An NPV value measures the reliability of AIaMD’s results, specifically “how reliably a negative result can confirm the absence of melanoma”. The report also found that there is a potential return on investment of up to £2.30 for every £1 spent on the technology.
4. Cambridge AI tool predicts onset and speed of Alzheimer’s progression with >80% accuracy
A team of scientists at the University of Cambridge’s Department of Psychology has developed an AI tool to predict the rate of progression of Alzheimer’s disease in patients. The tool was able to correctly identify patients who went on to develop Alzheimer’s in 82 per cent of cases, and those who didn’t develop the disease in 81 per cent of cases.
5. Thomson Reuters survey: 78% of professionals say AI will be a force for good
The July 2024 Thomson Reuters Future of Professionals Report finds that 94 per cent of respondents predict that AI will significantly affect corporations’ strategies, with 59 per cent of C-suite respondents putting operational strategy at the top of the list. Overall, some 78 per cent of respondents believe that AI is a force for good in their professions, with a particularly high result in Latin America (94 per cent).
6. US demand for AI-related tech talent is rising, CBRE finds
In the US, 14.3 per cent of job postings for tech talent were seeking AI skills in June 2024, up from 8.8 per cent in late 2019, according to a report by CBRE. “Increased demand for specialized skill sets in artificial intelligence has fueled tech talent job growth across all sectors,” said Colin Yasukochi, executive director of CBRE’s Tech Insights Center. “We anticipate more tech hiring to take place this year and into 2025 as companies further develop and adopt this technology.” The report also found that, for the first time since it launched in 2013, non-tech industries were hiring more tech talent workers than the tech industry.
7. AI could help reduce carbon emissions of commercial buildings by 90%
Researchers at Lawrence Berkeley National Laboratory have developed a method to evaluate potential energy savings in commercial buildings such as offices by improving equipment efficiency with AI. By improving HVAC, electric equipment, lighting and other facilities’ efficiency, the team estimates that AI could help to reduce carbon emissions by 90 per cent and energy consumption by 40 per cent if combined with energy policy and low-carbon power generation. Without these combinations, they estimate that energy consumption and carbon emissions could be reduced by 8–19 per cent.
A psychological study investigating whether a generative AI tool could reduce participants’ belief in conspiracy theories found that engaging with the large-language model (LLM) GPT-Turbo reduced peoples’ belief by an average of 20 per cent. After the study, the effect of the LLM persisted for a minimum of two months across a wide range of conspiracy theories covering everything from the assassination of John F. Kennedy to the existence of aliens and more.
