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AI

2026 predictions: the next phase of AI in the workplace 

As 2026 approaches, artificial intelligence (AI) continues to evolve at remarkable speed, embedding itself deeper into working life. Organisations now face new challenges and opportunities in how they apply, govern and benefit from AI. 

Start 2026 graphic

Five HR predictions for 2026 

Rapid advancements in artificial intelligence (AI), shifting workforce expectations and tighter regulation are reshaping the human resources (HR) landscape.   Here, Dr Jonathan Lord, Senior Lecturer in Human Resource Management at Salford Business School, outlines five trends he expects to influence HR practice in 2026 and beyond.  1. AI becomes deeply embedded in recruitment and procurement […]

Aimee-Leigh Youngson

Meet the expert: Aimee-Leigh Youngson

Meet Aimee-Leigh Youngson, Lecturer in People Management and Programme Leader of Business Management at Salford Business School. It wasn’t until studying at Salford when Aimee became interested in pursuing academia as a career path, finding a passion in business management and how artificial intelligence (AI) can help support academic and professional development. 

Building a secure and resilient AI future for SMEs

At this year’s European Conference on Artificial Intelligence (ECAI 2025), Dr Angel Jimenez-Aranda from Salford Business School presented his latest research at the edu4AI workshop. His talk, titled “A Framework for Building a Secure, Resilient and AI-based Digital Future for SMEs”, explored how small and medium-sized enterprises (SMEs) can embrace artificial intelligence (AI) while staying secure, resilient, and inclusive in a rapidly evolving digital landscape.

Zeeshan Syed at ICBFS 2025

University of Salford at ICBFS 2025: Advancing AI-driven portfolio management

At the International Conference in Banking and Financial Studies (ICBFS) 2025, held 11–12 September at the Catholic University of the Sacred Heart, Piacenza, Italy, Salford Business School’s Dr Zeeshan Ali Syed, Programme Director for Financial Technology (FinTech) and Lecturer in Finance, presented new research on unsupervised machine learning for portfolio management.