Carnegie Endowment for International Peace
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Over the past few years, Big Tech firms’ failure to address privacy concerns and combat disinformation has prompted a growing debate about the apparent conflict between their professed values and their bottom lines.
It’s time to look at the problem differently. Those attempting to address the issue should move away from attempts to regulate disinformation and toward the ecology of the information environment more generally.
It is understandable that the potential broadening of the scope of the EU’s AI Act’ makes the United States nervous. Washington should come to the EU with targeted suggestions, as its domestic conversation around AI risks matures.
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.
Kyiv sees Ukraine's reconstruction as an opportunity to turn the country into a European tech hub — to do that it needs help.
Espionage is a fact of life, yet U.S. discourse often fails to distinguish severe incidents from banal ones. If this pattern continues, the next Chinese spying scandal—however trivial—may spark a true bilateral crisis.
Having redefined practices from citizen journalism to military targeting, OSINT’s increased prominence has been accompanied by growing calls from scholars, practitioners, and senior officials for the U.S. Intelligence Community (IC) to more concertedly take up the craft.
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.
Six years into our collective preoccupation with information operations and how platforms wrestle with them, the question of whether they even work in the first place — and if so, how — has gotten lost.