A recent Forbes Insights survey and report based on the responses of over 200 chief information security officers (CISOs) showed the tough choices they must make as they face "an arms race between the capabilities of attackers and their own defense postures."[1] In a cybersecurity environment that is changing at every moment, with new technologies and threats emerging, it's important to accept that enterprises cannot defend against every possible attack. Every CISO is acutely aware of the double-edged sword presented by the use of AI technologies such as machine learning: They are increasingly being deployed by malicious actors as an offensive tool that can automate many of the tasks in building a weapon, at lower cost and with greater efficiency. That's why the other edge of the sword--a strong, automated defensive bulwark--is critical for enterprises to secure their vast environments. For Emily Heath, vice president and chief information security officer at United, the global airline, one of the key benefits of automation through machine learning is visibility into the network--understanding what is normal or anomalous activity.

Artificial intelligence (AI) is thrown into conversations about the future of business tech with increasing frequency. Many enterprises now have programmers beavering away on bespoke algorithms to automate tasks or services, which they hope will give them a competitive advantage. These algorithms are trained on vast data sets and eventually learn how to correctly identify common patterns without human intervention. They take time to design, and they don't come cheap. But that doesn't mean AI is purely for the big beasts of the business world.

Among them is that systems of governance are not immortal and that democracies can devolve into autocracy. As institutions decay and social norms fray, democratic processes and practices are prone to apathy, demagoguery and disintegration. One scholar ringing the loudest alarm bell--or perhaps death knell--is David Runciman. He is a professor of politics at Cambridge University and the author of "How Democracy Ends". His replies are followed by an excerpt from the book. Upgrade your inbox and get our Daily Dispatch and Editor's Picks.

In contrast to the science fiction portrayal of evil computers plotting to overthrow humankind, artificial intelligence (AI) in fact seems poised to help improve human health in a multitude of ways, including flagging suspicious moles for dermatologist follow-up, monitoring blood volume in military field personnel and tracking flu outbreaks via Twitter. The Colorado Clinical and Translational Science Institute (CCTSI) recently held the 7th annual CU-CSU Summit on the topic of "AI and Machine Learning in Biomedical Research", with over 150 researchers, clinicians and student attendees from all three CU campuses and CSU. Ronald Sokol, MD, CCTSI director, said, "The purpose of the CCTSI is to accelerate and catalyze translating discoveries into better patient care and population health by bringing together expertise from all our partners." Rather than individual campuses operating in silos, the annual Summit brings together clinicians, basic and clinical researchers, post-doctoral fellows, mathematicians and others to highlight ongoing research excellence, establish collaborations and increase interconnectivity of the four campuses. This year's conference on AI hit capacity for registration, including attendance by more mathematicians and with more poster submissions than the preceding six events.

HÀ NỘI In the development of the fourth industrial revolution, artificial intelligence (AI) has made significant progress and is expected to make breakthroughs in the next ten years. Following the global trend, the Vietnamese Government aims to turn AI into a driving force of development and make it a top priority in growth policies. One of the most important tasks is developing human resources, including improving higher education training quality, building 4.0 technology training institutes, encouraging technological application, renovation at businesses; and investment in science-technology research. According to Minister of Science and Technology Chu Ngọc Anh Việt Nam has advantages in start-up innovation and technological development, especially in AI. With an open business climate and labour force interested in technology, the application of AI in various sectors has made progress, connecting parts of the nation's AI ecosystem.

Artificial intelligence has thrashed humans at chess. Now the bots are gunning for mahjong. An AI-powered program developed by Microsoft Corp. has surpassed the average level of the top players in a recent competition in Japan, Harry Shum, executive vice-president of the company's artificial intelligence and research group, said in Shanghai on Thursday. "To those friends who usually lose money in mahjong, this is good news to you," Shum said to laughter at the World AI Conference. "The bot player developed by Microsoft can deal with high uncertainty, presenting instincts akin to human, projection and deduction capabilities as well as a sense of overall consciousness."

As the public becomes increasingly aware of the dangers of AI algorithmic bias and concerned over surveillance and militaristic applications of deep learning, there have been a growing number of calls for AI regulation. Whether new laws governing AI fairness or policies constraining the use of autonomous weapons systems, the challenge confronting policymakers is that AI is very much like encryption: it is not a single controlled algorithm that can be regulated, it is a portfolio of techniques that no single country controls and which are being advanced every day by researchers all across the world. The almost unimaginably rapid progression of deep learning over the past half-decade into every corner of modern life has ushered in profoundly existential questions about how to ensure accurate, fair and beneficial use of this rapidly evolving technology. When it comes to biased algorithms, the fundamental fairness of current AI systems has been largely left to market forces. In turn, basic economics has ensured that free but heavily biased data wins over costly but minimally biased data.

European Law now requires AI to be explainable in the context of adverse decisions affecting European Union (EU) citizens. At the same time, it is expected that there will be increasing instances of AI failure as it operates on imperfect data. This paper puts forward a neurally-inspired framework called decision stacks that can provide for a way forward in research aimed at developing explainable AI. Leveraging findings from memory systems in biological brains, the decision stack framework operationalizes the definition of explainability and then proposes a test that can potentially reveal how a given AI decision came to its conclusion.

AI and automation is changing the business environment across industries, delivering new opportunities through intelligent, automated products. Some companies are ahead of the curve, and others are stagnating in their adoption of the tech. Board members and decision-makers are increasingly aware of the benefits of AI and automation, but the question should always remain: 'Is it right for my business? How does it solve a problem?'. With the general rise of this technology into business operations also comes challenges, dangers and potential risks to the human workforce.

King's Cross Central's developers said they wanted facial-recognition software to spot people on the site who had previously committed an offence there. The detail has emerged in a letter one of its managers sent to the London mayor, on 14 August. Sadiq Khan had sought reassurance using facial recognition on the site was legal. Two days before, Argent indicated it was using it to "ensure public safety". On Monday, it said it had now scrapped work on new uses of the technology.