Sarah Luvisotto
Strategic AI Policy Insights
At Panoramai's closing panel, Sarah Luvisotto demonstrated sophisticated understanding of European AI strategy by surfacing the most critical questions facing the continent's technological future. Her interventions revealed deep policy expertise and strategic thinking about Europe's position in global AI competition.
Regulation as Competitive Strategy
Sarah's central insight reframed EU AI Act requirements from innovation constraints to potential market advantages. Her questioning explored whether Europe's ethics-centered, multilingual, open-source approach can compete globally or will create technological dependence on US and Chinese systems.
She successfully extracted the core tension: Europe faces a choice between becoming "well-meaning laggards" through over-regulation versus finding optimal balance between innovation speed and responsible development. Her focus revealed how transparency requirements could become competitive differentiation as enterprises demand auditable AI systems.
Trust and Transparency Frameworks
Sarah's probing into human-AI relationships surfaced crucial distinctions between epistemic trust (requiring transparency) and moral trust (enabling manipulation). This insight proves essential for European leaders positioning AI governance as economic advantage rather than regulatory burden.
Her questions about democratic oversight and algorithmic transparency revealed practical implications for business leaders implementing AI systems in regulated environments.
Global Governance Perspective
Moving beyond US-versus-Europe binaries, Sarah pushed discussion toward inclusive global approaches. Her focus on "planetarized humanity" challenged panelists to address whether European AI frameworks account for diverse cultural values or risk perpetuating technological colonialism through exported governance models.
This perspective revealed the need for broader international engagement in AI development rather than purely Western approaches to global technology governance.
Business Implementation Reality
Sarah's concluding questions extracted concrete guidance for decision-makers: data strategy fundamentals matter more than advanced technical capabilities, transparency creates market opportunities rather than compliance burdens, and European companies must develop ownership of AI technology rather than remaining application-only consumers.
Key Achievement: Sarah revealed that Europe's AI success depends on positioning transparency and values-based development as competitive advantages while building genuine technological capabilities, transforming regulatory leadership into economic differentiation in global markets.