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Can an employer pay a sponsored worker more than a non-sponsored worker?
Marcia Longdon
The rise of Artificial Intelligence (AI) has unlocked extraordinary capabilities across every sector, including in the legal and regulatory sphere. But with that transformation, which is progressing at lightning-quick speed, comes an equally dramatic rise in risks for regulators. Whether overseeing healthcare, education, finance, legal services or other areas of professional standards, regulators are feeling the pressure where the rise in instant-access and quick thinking AI is making it easier than ever for complaints, reports and responses to be generated and submitted. And the pace is only accelerating.
In a judgment handed down on 13 May 2026, Mrs Justice Collins Rice allowed a nurse's appeal against an NMC fitness to practise decision, finding that serious and pervasive procedural irregularity had rendered the Panel's findings unsafe. The case is a reminder that reaching a conclusion is not enough: the route to that conclusion must itself be legally coherent and demonstrably fair.
For many chartered accountants, the ethical obligations that come with membership have traditionally been understood through the lens of financial propriety. The issues that have historically dominated the conversation around professional ethics in the accountancy sector have been conflicts of interest, independence, or objectivity in client work.
Today is World Day for Safety and Health at Work. The theme for 2026 – "Let's ensure a healthy psychosocial working environment" – offers a valuable opportunity to reflect on the evolving definition of workplace safety and the changing risk landscape facing employers.
The use of generative and agentic AI in audit is increasing rapidly as accountancy firms seek to improve efficiencies in audit engagements. The development of regulatory guidance has however largely trailed behind the pace of innovation, with little formal guidance on this topic issued since last July when the FRC published its “landmark” guidance on AI in audit. That guidance was an important first step in providing a “coherent approach” to AI deployment, and provided insight into the documentation requirements for AI tool development that the FRC expected to see.
Marcia Longdon
Sarah Atkinson
Sophie Tang
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