During The Tech Capital’s InfraAI Global summit, a panel session titled “Data Governance in the AI Era: Navigating the Labyrinth of Ethics and Innovation”, gathered figures from legal, governmental, and corporate sectors came together to confront the intricate challenges posed by artificial intelligence to modern data governance frameworks.

Chaired by Barry Gross, partner and co-lead of the data centres sector at Simmons & Simmons LLP, the panel unpacked how organisations can balance innovation and compliance when it comes to AI usage.

The session drew particular attention to the need for frameworks capable of safeguarding data privacy and ensuring regulatory alignment, without throttling AI’s transformative potential.

Topics that were touched on includes the potential of federated learning models to revolutionise collaborative AI development, the government’s role in fostering interoperable systems that encourage secure data collaboration while adhering to strict privacy mandates, and the growing sophistication of attacks targeting AI systems and data infrastructures.

The panel highlighted the need for real-time threat detection, robust encryption protocols, and AI-specific security testing as foundational components of modern data governance strategies.

With regulations like the EU AI Act looming large, the conversation steered toward the legal and ethical implications of AI governance.