Tag: Artificial Intelligence

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Cyber

Beyond Killer Robots: How Artificial Intelligence Can Improve Resilience in Cyber Space

Image courtesy of orihaus/Flickr. (CC BY 2.0)

This article was originally published by War on the Rocks on 6 September 2018.

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 Michael Horowitz wrote in the Texas National Security Review, 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.

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Artificial Intelligent Agents: Prerequisites for Rights and Dignity

Image courtesy of ITU Pictures/Flickr. (CC BY 2.0)

This article was originally published in Volume 2, Issue 2 of Age of Robots magazine on 6 March 2018.

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.

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Smart CCTVs: Third Eye of Secure Cities

CCTV
Courtesy Steve Rotman/Flickr. CC BY-NC-ND 2.0

This article was originally published by the S. Rajaratnam School of International Studies (RSIS) in December 2016.

Synopsis

Many cities around the world are exploring the use of Smart CCTVs as advances in Artificial Intelligence (AI) offer operational value for homeland security. However, cybersecurity and overreliance could impede the technology’s potential.

Commentary

Following recent terrorist incidents, Germany’s Interior Minister announced in August 2016 that CCTV cameras at airports and train stations will be enhanced with facial recognition technology. Likewise, the New York Police Department has developed the Domain Awareness System that uses similar technology to track and monitor potential suspects.

Globalisation increases the exposure of cities to myriad transnational threats even as growing urbanisation is putting the strain on law enforcement by increasing the densities of population, property and critical infrastructure to be safeguarded in each precinct. These inherent challenges in protecting cities – population and economic centres that make attractive soft targets – necessitate the early warning and identification of threats. Smart CCTVs support this function as the third eye of cities by complementing the vigilance of police officers and the community.

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