The AI community is at risk of becoming polarized to either take a laissez-faire attitude toward AI development, or to call for government overregulation.
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
The EU’s quest for strategic autonomy in the digital domain is challenged by national interests. Brussels can set a bold direction on tech sovereignty, but its success will require a robust framework and delicate compromises.
Raluca Csernatoni, Sinan Ülgen
The EU’s recent deregulatory shift risks erodingdemocratic oversight and the union’s norm-setting credibility. To secure Europe’s technological sovereignty, the blocmust increase investments, develop its own digital infrastructure, and regulate dual-use AI applications.
Raluca Csernatoni
Large language models are transforming how humans acquire and interpret information, raising pressing ethical concerns. To mitigate the related risks, policymakers should promote digital AI literacy and develop tools to understand the inherent biases of generative AI tools.
Sinan Ülgen
AI models enable malicious actors to manipulate information and disrupt electoral processes, threatening democracies. Tackling these challenges requires a comprehensive approach that combines technical solutions and societal efforts.
Raluca Csernatoni
Europe’s digital future cannot hinge on Washington’s whims or the outcome of elections every four years. To achieve a level of technological autonomy, Europe needs targeted investments and responsible innovation in key sectors.
Raluca Csernatoni
