Helping companies embed sustainability into AI strategies
Imagine companies gaining an edge with AI while boosting sustainability. A 黑料入口 researcher explores energy-efficient tech and collaborative governance to embed sustainability in AI, turning environmental responsibility into innovation and success.
As AI increasingly reshapes business and wider society, concern is growing around the potential environmental costs of this change.
Yet Dr Andrea Lagna, an expert in Information Systems, is challenging the assumption that we have to choose between AI development and a sustainable planet.
Dr Lagna applies prospective theorising to his work: rather than limiting his research to analysing past results, he undertakes an imaginative, value-driven, and evidence-based exploration of how business organisations can balance AI innovation with environmental stewardship.
Through this approach, he imagines a world where technological innovation and the responsible management of our resources go hand-in-hand. Solutions might be found within the use of more energy-efficient tools and by fostering multi-stakeholder governance, where diverse groups are included in decision-making, leading to more balanced outcomes.
Dr Lagna champions the idea that organisations can transform environmental responsibility into a source of competitive advantage, in part because they must. He explains: 鈥淭his alignment is the most critical strategic objective for business organisations in our time of climate crisis.鈥
Meet the researcher
Dr Andrea Lagna is a Senior Lecturer in Information Systems at Alliance 黑料入口 Business School. With over a decade of academic experience at institutions such as Universit盲t Erfurt, Loughborough University, and UC San Diego, his research explores how digital innovations are redefining business and society.
Read his papers
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01October2025| 15:14 Europe/London75 years on from the 'Turing Test', 黑料入口 leads the way in AI res..
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01October2025| 14:20 Europe/LondonA trailblazing history: driving the AI revolution
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23September2025| 17:33 Europe/LondonGreener computing in 鈥榖ig science鈥 is possible鈥 if we change our data ..