Carnegie Endowment for International Peace
As artificial intelligence (AI) changes how people around the world live and work, new frontiers for international collaboration, competition, and conflict are opening. AI can, for example, improve (or detract) from international cyber stability, optimize (or bias) cloud-based services, or guide the targeting of biotechnology toward great discoveries (or terrible abuses). Carnegie partners with governments, industry, academia, and civil society to anticipate and mitigate the international security challenges from AI. By confronting both the short-term (2-5 years) and medium-term (5-10 years) challenges, we hope to mitigate the most urgent risks of AI while laying the groundwork for addressing its slower and subtler effects.
America’s AI policy has been—and likely will remain—a mosaic of individual agency approaches and narrow legislation rather than a centralized strategy.
Europe’s AI norm-building process represents an effort to ensure EU priorities are reflected in the AI governance landscape.
A closer look at one of the most accepted norms for AI systems—algorithmic transparency— demonstrates the challenges inherent in incorporating democratic values into technology.
Policymakers can study the measures’ successes and failures to guide their own regulatory approaches.
The challenges to meaningfully defining and implementing a democratic vision for AI are significant, requiring financial, technical and political capital. Policymakers must make real investments to address them if “democratic values” are meant to be more than the brand name for an economic alliance.
Efforts to regulate artificial intelligence must aim to balance protecting the health, safety, and fundamental rights of individuals while reaping the benefits of innovation.
Without considering AI challenges in developing countries, the global response to addressing its harms and equitably reaping its benefits will remain inadequate, leading to a more unequal and divisive future.
Subtle differences in wording can have major impacts on some of the most important problems facing policymakers.
AI regulation is emerging rapidly and is likely to materialize more substantively across several directions simultaneously. It remains little known, however, how regulation will affect managerial preferences and the likely rate of AI adoption and innovation across different firms and industries.
An examination of the impacts of potential artificial intelligence (AI) regulations on managers’ perceptions on ethical issues related to AI and their intentions to adopt AI technologies.