AI as Value Creator or Value Risk? LP and VC Trends in Responsible AI Investment from Korea to Global Markets

​Jointly organized by Reframe Venture, UN-BTech, and Project Liberty Institute, and hosted at Swissnex

​AI has become the single most significant investment theme in global venture capital. Alongside its promise as a driver of productivity, growth, and innovation, however, AI also introduces material risks that investors cannot ignore: governance failures, data-driven concentration, human-rights exposure, environmental pressures, and long-term systemic impacts on labor and markets. 

​The session will focus on two core questions: 

• ​How can LPs and VCs strengthen risk management and governance practices across the AI stack in Korea and also collectively globally?

• ​How can capital actively support human-centered, rights-respecting AI, from infrastructure and models to applications, in ways that protect investor value while contributing to durable economic and societal outcomes? 

​This invite-only, Chatham-House rule roundtable provides a trusted space for LPs and VCs in the Korean ecosystem to exchange perspectives on how AI is redefining both value creation and risk, informed by ReframeVenture and PLI’s engagement with investors representing more than USD 6 trillion in AUM across North America, Europe, and Asia, as well as UN-BTech’s work on human-rights guidance for public and private investors.

​The goal of the session is to listen to and engage with Korean LP and VC perspectives, while offering participants comparative insights from global investor dialogues, grounded in ReframeVenture’s community of over 180 venture capital firms and 110 institutional LPs worldwide. The conversation will also contribute to ongoing UN-BTech and PLI consultations on how prevailing technology business models, particularly those built on large-scale data extraction, shape human-rights outcomes, market structure, and long-term economic resilience, and on the role investors can play in shifting incentives toward more sustainable and responsible approaches to AI.