This graphic maps out a selection of Chinese AI companies and provides an overview of their current projects and collaborative efforts. To find out more about China’s ambitions to become a world leader in artificial intelligence, see Sophie-Charlotte Fischer’s recent addition to our CSS Analyses in Security Policy series here. For more graphics on economics, see the CSS’ collection of graphs and charts on the subject here.
What will advances in artificial intelligence (AI) mean for national security? This year in War on the Rocks, technical and non-technical experts with academic, military, and industry perspectives grappled with the promise and peril of AI in the military and defense realms. War on the Rocks articles discussed issues ranging from the different ways international competitors and military services are pursuing AI to the challenges AI applications present to current systems of decision-making, trust, and military ethics. War on the Rocks contributors added to our understanding of the trajectory of military AI and drew attention to critical remaining questions. A key takeaway is that technical developments in AI probably represent less than half the battle in attempting to effectively integrate AI capabilities into militaries. The real challenge now, both in the United States and abroad, is going beyond the hype and getting the right people, organizations, processes, and safeguards in place.
Disinformation and distrust online are set to take a turn for the worse. Rapid advances in deep-learning algorithms to synthesize video and audio content have made possible the production of “deep fakes”—highly realistic and difficult-to-detect depictions of real people doing or saying things they never said or did. As this technology spreads, the ability to produce bogus yet credible video and audio content will come within the reach of an ever-larger array of governments, nonstate actors, and individuals. As a result, the ability to advance lies using hyperrealistic, fake evidence is poised for a great leap forward.
Recently, one of us spent a week in China discussing the future of war with a group of American and Chinese academics. Everyone speculated about the role of artificial intelligence (AI), but, surprisingly, many Chinese participants equated AI almost exclusively with armies of killer robots.
Popular imagination and much of current AI scholarship tend to focus, understandably, on the more glamorous aspects of AI — the stuff of science fiction and the Terminator movies. While lethal and autonomous weapons have been a hot topic in recent years, this is only one aspect of war that will change as artificial intelligence becomes more sophisticated. As, AI itself will not manifest just as a weapon; rather, it is an enabler that can support a broad spectrum of technologies. We agree: AI’s most substantial impacts are likely to fly under the radar in discussions about its potential. Therefore, a more holistic conversation should acknowledge AI’s potential effects in cyber space, not by facilitating cyber attacks, but rather by improving cyber security at scale through increased asset awareness and minimized source code vulnerabilities.
IBM’s Deep Blue was a chess-playing computer that achieved remarkable success in 1997 when it defeated the world champion Gary Kasparov in 19 moves. Kasparov had never lost a match to a human in under 20 moves. He managed to beat Deep Blue in the next games but was again defeated the following year after Deep Blue received an upgrade—and the unofficial nickname “Deeper Blue”. This was a landmark moment in artificial intelligence, but at no point was the genius chess machine deemed worthy of “rights”. Although theoretically able to visualize 200 million chess positions per second, Deep Blue had limited general abilities and could not work on other tasks beyond what it was programmed to do—such as playing chess, in this case.