Security and Co-innovation in the Age of Artificial Intelligence

By Nessma Kdim
English

In an era of interconnected and collaborative innovation, artificial intelligence (AI) has emerged as a catalyst for co-innovation between laboratories, companies, and institutions. While it enhances data flows, decision-making processes, and inter-organizational exchanges, AI also introduces new risks: algorithmic bias, technical vulnerabilities, technological dependency, and governance challenges. This paper explores the dual role of AI as both a security enabler and a potential source of instability in strategic partnerships. Drawing on a targeted literature review and concrete case studies, the study offers a typology of AI-related risks in collaborative projects and proposes a governance framework based on transparency, traceability, and regulatory compliance. Practical recommendations are also provided to embed cybersecurity measures from the early stages of innovation initiatives. The goal is to strengthen the resilience of institutional partnerships in the age of AI, while promoting ethical, responsible, and sustainable innovation.

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