The rapid rise of artificial intelligence is widely celebrated as a driver of innovation and opportunity. Yet behind these advances lie significant hidden environmental, economic, social, and research-related costs that often remain invisible to end-users. From the vast energy and water demands of training large models such as GPT and DALL·E, to the carbon footprint of data centers, growing market concentration, rising barriers for academia, and widening digital divides, AI’s expansion raises urgent sustainability and equity concerns.

In this timely webinar, Francesca Larosa, and Rashid Dehkordi, offer economic and management perspectives on AI’s hidden costs. They will explore environmental impacts, global supply chains, market dynamics, opportunity costs in research funding, and the broader societal implications of AI over-reliance.

Beyond critical reflection, the session provides practical guidance for responsible AI adoption.

Participants will gain insights into sustainability trade-offs, ethical research integration, and emerging governance and regulatory approaches—equipping them to make informed decisions and contribute to responsible, equitable AI innovation.

To attend register here - https://shorturl.at/pqKvv