When the Department of Homeland Security’s Advisory Council announces it plan next week for overhauling how the agency combats the spread of disinformation online, its focus will be on “how to achieve greater transparency across our disinformation related work” and how to “increase trust with the public,” according to council meeting minutes released Monday.

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Click the link for a transcript of “Spies, Lies and Algorithms with Amy Zegart."

The Origins of Spies, Lies and Algorithms

When I was a professor at UCLA, I was teaching an intelligence class. On a lark, I did a survey of my students and I asked them about their spy-themed entertainment viewing habits, as well as their attitudes towards certain intelligence topics like interrogation techniques.

What I found was there was a statistically significant correlation between their spy-themed viewing habits; people who watch the show 24 all the time were far more pro-waterboarding, among other things, than students who didn't watch spy-themed entertainment.

This got me really thinking, what do people know about espionage? Where do they get this information? And what I found is that most Americans don't know anything about the intelligence community, and when you're talking about spy agencies in a democracy, that's really problematic.

The original book was going to be more of a textbook for the class I was teaching, but as I write it, so many things started to change in the intelligence community, both politically and technologically. So with that in mind, I tried to make it forward looking to where intelligence needs to go, not just backward to where it’s been.

Who are the Spies?
 

The biggest surprise for me came from the research I did on open-source intelligence and nuclear threats. If ever there was an area you would think spy agencies would have cornered the market on intelligence, it would be nuclear threats.

But what I found is that there's a whole ecosystem of non-governmental people tracking nuclear threats around the world and actually uncovering really important things. That includes some open-source nuclear sleuths here at Stanford among my colleagues at CISAC.

The more I dug into this, the more I realized that open-source intelligence and publicly available data is the ballgame in the future of intelligence. Secrets still matter; but they matter a whole lot less than they did even ten years ago.

There is so much insight that we can glean from open-source information, but the intelligence community has to figure out better ways to connect with organizations and people who are in this ecosystem.

What are the Lies?

Intelligence is about deception. We don't want our enemies to understand all of our military capabilities, for example, or what our intentions are.

But I think the technology and data revolutions of the last few decades has also changed the nature of deception. It’s gone from elites deceiving elites about where their troops are, and whether they're going to attack, to mass audience deception and this disinformation-information warfare of domestic audiences like we're experiencing here in the United States.

Understanding deception, not in a pejorative sense but as an analytic frame, is critically  important to being able to gather and analyze intelligence correctly.

The Power of Algorithms in Intelligence

We're drowning in data. The amount of data on Earth is estimated to double every two years. Think about that for a minute. It's just an astounding amount of data. And it's too much for any human to deal with.

So, if intelligence is in the business of collecting or finding needles in haystacks, the haystacks are growing exponentially. The intelligence community has to use artificial intelligence and other tools to augment human analysts. AI frees up analysts to then ask questions about things like intent, which humans can figure out much better than machines.

Imagine an algorithmic red team: you have humans that are developing assessments of what is Putin going to do in Ukraine, and you've got a red team that's just algorithms aggregating data, so that you have a sort of competitive analysis between humans and machines that can make the humans better. Those are the kinds of things that intelligence agencies need to be doing much more with AI.

The China Program at Shorenstein APARC had the privilege of hosting Jude Blanchette, the Freeman Chair in China Studies at the Center for Strategic and International Studies​ (CSIS). The program, entitled "What’s ‘Communist’ about the Communist Party of China?," explored the goals and ideology of the Chinese Communist Party (CCP), as well as what they might mean for the future of China in the global community. Professor Jean Oi, William Haas Professor of Chinese Politics and director of the APARC China Program, moderated the event.

After the death of Mao Zedong in 1976, the goals of the CCP became less clear. As the country began to adopt market reforms in the 1980s and 1990s, CCP theorists were forced into contortions providing ideological justifications for policies that appeared overtly capitalist. Deng Xiaoping’s concept of “Socialism with Chinese characteristics” came to be seen as a theoretical fig leaf rather than a description of an egalitarian economic system, and by the 2000s, a consensus emerged that the CCP had completely abandoned any pretense of pursuing the Marxist vision it purported to hold. With the rise of Xi Jinping, however, the Party talks with renewed vigor about Marxism-Leninism and the goal of achieving actual, existing socialism. Has the CCP re-discovered communism?  In his talk, Blanchette discussed the abandoned and existing legacies of Mao Zedong, Marxism-Leninism, and the CCP’s vision of socialism. Watch now: 

On February 10, 2021, the China Program at Shorenstein APARC hosted Professor Oriana Skylar Mastro, Center Fellow at the Freeman Spogli Institute for International Studies​ for the virtual program "Military Competition with China: Harder to Win Than During the Cold War?" Professor Jean Oi, William Haas Professor of Chinese Politics and director of the APARC China Program, moderated the event.

As US-China competition intensifies, experts debate the degree to which the current strategic environment resembles that of the Cold War. Those that argue against the analogy often highlight how China is deeply integrated into the US-led world order. They also point out that, while tense, US-China relations have not turned overtly adversarial. But there is another, less optimistic reason the comparison is unhelpful: deterring and defeating Chinese aggression is harder now than it was against the Soviet Union. In her talk, Dr. Mastro analyzed how technology, geography, relative resources and the alliance system complicate U.S. efforts to enhance the credibility of its deterrence posture and, in a crisis, form any sort of coalition. Mastro and Oi's thought-provoking discussion ranged from the topic of why even US allies are hesitant to take a strong stance against China to whether or not Taiwan could be a catalyst for military conflict. Watch now: 

In the aftermath of the assault on the Capitol, much of the nation’s attention was focused on “why.” But another question is equally important: “What next?”

The problem the authorities faced on Jan. 6 was not an inability to respond, but failure to anticipate the threat. Going forward, counterterrorism efforts should emphasize connecting the dots in the far-right extremist universe — not a simple task, given the dispersed and fast-moving nature of the threat.

Read the rest at The New York Times