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The European Union has a unique opportunity to set the global standard for AI and data governance by prioritizing both innovation and the protection of individual rights, according to Resham Kotecha, Global Head of Policy at the Open Data Institute (ODI). Kotecha highlights the ODI’s European Data and AI Policy Manifesto, which advocates for robust governance, inclusive ecosystems, and proactive public engagement as cornerstones of responsible AI development.
Kotecha believes that the EU can establish a global benchmark by basing innovation on regulations that prioritize user safety and foster trust. She points to initiatives like Common European Data Spaces and Gaia-X as examples of the EU’s early efforts to build foundational AI infrastructure while simultaneously safeguarding rights through data sharing.
To foster trustworthy AI, standardized privacy-enhancing technologies (PETs) must transition from pilot programs to widespread adoption. Independent organizations play a crucial role in ensuring impartiality, building public confidence, and holding governments and industry accountable.
Open data serves as the bedrock of responsible AI. The EU should streamline the processes and reduce costs for organizations involved in collecting, utilizing, and sharing data for AI applications. Effective communication is key, with decision-makers recognizing the tangible business advantages. Regulatory sandboxes can effectively demonstrate the complementary nature of public benefit and commercial value. The Data Governance Act (DGA) and forthcoming GDPR updates are clarifying permissions for responsible data reuse.
The Data Governance Act is pivotal in establishing reliable, cross-border AI ecosystems. However, its consistent implementation across member states is crucial, bolstered by sustained, strategic funding for civil society and independent organizations.
Expanding access to valuable datasets for smaller organizations through initiatives like AI Factories and Data Labs is also critical. Furthermore, integrating public understanding and participation through community-led projects will build confidence and trust in AI systems.
By prioritizing open data, independent oversight, inclusive ecosystems, and the development of data skills, the EU can demonstrate that trust is not just a desirable quality, but a competitive advantage in the AI landscape, fostering thriving and responsible AI economies.