"There's no simple answer," said Stuart Russell, a computer scientist at UC Berkeley, an adjunct professor of neurological surgery at UC San Francisco and the author of a forthcoming book, "Human Compatible: Artificial Intelligence and the Problem of Control." "But in the long run nearly all current jobs will go away, so we need fairly radical policy changes to prepare for a very different future economy. In his book, Russell writes, "One rapidly emerging picture is that of an economy where far fewer people work because work is unnecessary." That's either a very frightening or a tantalizing prospect, depending very much on whether and how much you (and/or society) think people ought to have to work and how society is going to put a price on human labor. There will be less work in manufacturing, less work in call centers, less work driving trucks, and more work in health care and home care and construction. MIT Technology Review tried to track all the different reports on the effect ...

As the risks of deep learning's continued evolution have received greater attention, a growing refrain has focused on how best to prevent AI from being used for harm. From killer robots to prevalent facial recognition, societies are increasingly talking about the need for new legislation and corporate responsibility pledges to halt the spread of harmful AI. Unfortunately, the reality is that deep learning's ease of use and decentralized development across the world means it is simply impossible to constrain how it is used. Instead, societies must focus on how to counteract its most harmful applications. The public, press, pundits and policymakers speak of laws and pledges to halt the harmful use of AI.

JERUSALEM – The Israeli Air Force struck in Syria to prevent an Iranian force from launching an attack on the Jewish state with drones armed with explosives, the army said Sunday. While Israel operates regularly in Syria, it rarely acknowledges its actions so swiftly, with Prime Minister Benjamin Netanyahu warning archfoe Iran it had no immunity from his state's military. In a briefing to reporters, military spokesman Jonathan Conricus said that late Saturday the air force "was able to thwart an Iranian attempt led by the Quds force from Syria to conduct an attack on Israeli targets in northern Israel using killer drones." According to Conricus, the Israeli attack took place in Aqraba, southeast of Damascus, and targeted "a number of terror targets and military facilities belonging to the Quds force as well as Shiite militias." The army had on Thursday prevented an earlier attempt to launch the drone attack, Conricus said, without providing further details.

Machine learning (ML) has become an important part of the modern cybersecurity landscape, where massive amounts of threat data need to be gathered and processed to provide security solutions the ability to swiftly and accurately detect and analyze new and unique malware variants without requiring extensive resources. Some machine learning algorithms are typically trained on a large dataset. Malware outbreaks pose a challenge for machine learning in security since samples are scarce during the critical first hours. In our research paper entitled "Generative Malware Outbreak Detection," we demonstrated how machine learning technology for security solutions can identify a malware variant not only from large quantities of malware samples but also from only a small handful of observable variants. But how effective is machine learning if the only information available is from a single sample?

"With artificial intelligence, we are summoning the devil." So said Tesla chief and all-round tech titan Elon Musk back in 2014. When someone of his standing makes a statement like that, it should give pause for thought. But according to Daniel Pitchford, co-founder of AI Business, this view, while pretty common, is over-egging the situation slightly. We'll tell you what's true.

Facial mapping example used to construct a deepfake video. As society increasingly wrestles with the impact of "deep fakes" it is important to acknowledge that much of the current hype is overstated. While it is true that deep fakes constitute an important future issue, today's tools are far less developed or user-friendly than the breathless media hype and public fears might suggest. Most importantly, in many ways the rise of deep fakes mirrors the rise of Photoshop nearly 30 years ago, with a rise in falsified images met with increasing scrutiny of image-based evidence. While deep learning approaches promise higher-quality falsifications with greater ease, if Photoshop did not lead us to abandon our trust in images, do deep fakes really represent the threat we believe they do?

There appears to be a growing consensus in global policy circles that military use of artificial intelligence (AI) technologies is "inevitable." This perceived inevitability is largely a product of the P-5 – China, the United States, United Kingdom, France and Russia – actively pursuing military applications of AI while simultaneously opposing a ban on their development and production. The rationale for the pursuit of such technologies is simple: the advantages in terms of speed, lethality, and effectiveness provided by AI systems will make them an essential element of military dominance in the coming decades. AI is therefore a crucial part of China's strategy to displace the United States as the dominant power in the Indo-Pacific region. As Beijing sets its sights on dominance of the seas, it is also working to enhance its deep sea capabilities through "intelligentized" (智能) military systems, which in turn will have broader implications for the Indo-Pacific strategic nuclear balance.

Last week at the Black Hat cybersecurity conference in Las Vegas, the Democratic National Committee tried to raise awareness of the dangers of AI-doctored videos by displaying a deepfaked video of DNC Chair Tom Perez. Deepfakes are videos that have been manipulated, using deep learning tools, to superimpose a person's face onto a video of someone else. As the 2020 presidential election draws near, there's increasing concern over the potential threats deepfakes pose to the democratic process. In June, the U.S. Congress House Permanent Select Committee on Intelligence held a hearing to discuss the threats of deefakes and other AI-manipulated media. But there's doubt over whether tech companies are ready to deal with deepfakes.

Artificial intelligence tools permeate the health care landscape, even though many health care practitioners don't realize that they're leveraging such tools in their everyday practice. The American Medical Association, in a report from its 2018 Annual Meeting, described AI as: "a host of computational methods that produce systems that perform tasks normally requiring human intelligence. These computational methods include, but are not limited to, machine image recognition, natural language processing, and machine learning." The AMA emphasized in its report, however, that another term used in the health care setting with regard to AI is "augmented intelligence," given that AI generally is designed to "enhance the capabilities of human clinical decision making," particularly in the health care industry. In other words, AI is a tool that, at its best, helps humans make better decisions, and complete tasks more efficiently and effectively.

Fox News Flash top headlines for August 24 are here. Check out what's clicking on Foxnews.com The Israeli military carried out a late-night attack on targets inside Syria Saturday in what it described as a successful effort to thwart a "very imminent" Iranian drone strike. The airstrike appeared to be one of the most intense efforts by Israeli forces to tamp down Tehran's military action in the Damascus area and triggered anti-aircraft fire by Syrian forces. Lt. Col. Jonathan Conricus, a military spokesman, told The Associated Press that Israeli officials had been monitoring a plot for several months in which they believed Iran's Revolutionary Guards' Al Quds force, in conjunction with allied Shiite militias, had been planning to send explosives-laden attack drones into Israel.