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There were some differences in terms of the perspectives on when to use deepfakes.

I'd say that overall there was one person we interviewed who was more or less opposed to the use of deep fakes under any circumstances, but everybody else provided a much more nuanced picture. They were unwilling to forego the use of

deep fakes a priori but to instead articulate a clear process and a set of guidelines and guardrails that would decide when a deep fake is used and when it is not.

I am O'HENIA Lothrey, Lawfer's Fellow in Technology Policy and law, and this is the Lawfare Podcast, March 12, 2024.

Progress in Deep Fake Technology and Artificial Intelligence can make manipulated media hard to identify, making deepfakes an

appealing tool for governments seeking to advance their national security objectives.

But in a low trust information environment, balancing the risk and rewards of a government-run

deep-fake campaign is trickier than it may seem.

To talk through how democracies should think about using dig fakes, I was joined by Daniel Byman, Senior

Fellow at the Center for Strategic and International Studies and Professor at Georgetown University.

Daniel Lena, Director of Law and Technology Initiative. Georgetown University, and B.S. University, and B.S. Subramanian, the Walter B. Murphy Professor of Computer

Science and Buffett Faculty Faculty at Northwestern University.

They recently published a report examining two critical points.

The questions that a government agency should address before deploying a deep fake

and the governance mechanisms that should be in place to assess its risks and rewards.

It's the Lawford Podcast for March 12th. How should governments use deep fix?

So some weeks ago at the Munich Security Conference, many of the major tech companies signed a commitment, right, to adopt reasonable precautions to prevent AI tools from being used to disrupt elections.

Now, this is one example example but I think it represented general

...