Technological and Social Shaping of Emerging Technologies in Healthcare

Éditeurs invités

• Yichuan Wang, University of Sheffield
• Minhao Zhang, University of Bristol
• Francesco Schiavone, University of Naples Parthenope

Synthèse

This special issue examines how shifting political contexts and policy decisions influence artificial intelligence innovation, governance, and investment globally. The call addresses the interplay between regulatory changes, technological development, and organizational strategy in response to evolving geopolitical uncertainties and governance frameworks around AI.

The issue seeks interdisciplinary research exploring how relaxed or tightened AI regulations affect innovation ecosystems, competitive dynamics, and cross-border collaboration. It welcomes submissions analyzing governance models, investment strategies, and the balance between rapid AI development and ethical considerations such as data protection and algorithmic fairness across different economic and institutional contexts.

Thèmes proposés

• How do shifting political contexts and leadership changes shape countries' AI R&D investments and strategic alliances?
• What are the short-term and long-term implications of relaxed AI governance on economic performance, data privacy, and algorithmic bias?
• Under what conditions can reduced AI regulations foster or hinder innovation ecosystems in sectors such as healthcare, finance, manufacturing, and transportation?
• How can policymakers and organizations balance the need for rapid AI innovation with the ethical and social risks arising from limited oversight or fragmented governance?
• How might relaxed AI governance in certain countries influence global competitive dynamics, international collaborations, and the uneven distribution of AI capabilities?
• What strategies can multinational enterprises adopt to navigate complex regulatory landscapes, protect intellectual property, and maintain data security while pursuing AI innovation?
• Which governance models or policy frameworks from different regions most effectively balance innovation, accountability, and social welfare in AI?
• How can scenario planning and forecasting methods be applied to model the impact of political volatility on AI investments, talent flows, and market structures?