Check out our Workology Podcast powered by Blogging4jobs. Click here to check out all our episodes. What Does Artificial Intelligence Mean in Human Resources and Recruiting? One of the most talked about trends in HR and recruiting the second half of 2016 has been about AI and artificial intelligence. Artificial intelligence is defined as "an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal."

Jerry Kaplan has been working on artificial intelligence since the 1950s. He explains to Leo the difference between general artificial intelligence, machine learning, and automation. He also explains why he thinks the idea of the Singularity is nonsense, that the real thing the Turing Test describes is trickery rather than intelligence, and that much of the current hype over the development of AI is just that: hype. He does think that the current growth of machine learning can and will transform the economy - many jobs will be replaced through automation, but many other opportunities will be created.

As technologist Joi Ito, director of the MIT Media Lab and a board member at the The New York Times and at Sony, recently predicted, "This is the year artificial intelligence becomes more than just a computer science problem." This week, the White House issued a formal position paper with 23 recommendations on artificial intelligence. Let me cut to the chase: they don't think superhuman A.I. is imminent. While you're relaxing in the good news, take in the pleasant surprise that the National Science and Technology Council (NSTC) and the Office of Science and Technology Policy (OSTP), which advises the President in policy and budget development, coordinated efforts to deliver this cohesive position paper. The outcome is a chunky, committee-clarified read, but for all that, it cuts to the chase on big issues in nontechnical language.

Big global banks are now turning their businesses to artificial intelligence technology to stay competitive in this digital era. This technology has major benefits, both for the banks and as well as their customers. Here are the core AI banking features, which can be delivered by Centurysoft. Voice-assisted banking enables customers to use banking services with voice commands apart from a touch screen or press button. The Natural Language Processing technology can process queries to answer the questions, finding information, and connecting the users with various banking services.

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The University of New South Wales has announced a partnership with outsourcing giant Tata Consultancy Services that will see the pair undertake joint research in areas such as machine learning, virtual reality (VR), robotics, data analytics, and cloud computing. Under the memorandum of understanding, UNSW said the organisations will work together on ideas which stem from pure technology research and give them real-world applications, with the agreement also opening up the prospect of exchanges of scholars and internships for UNSW students at Tata Consultancy's global research facilities. The memorandum was signed by Tata Consultancy's CTO Ananth Krishnan and UNSW's deputy vice-chancellor enterprise professor Brian Boyle at the consultancy firm's Asia-Pacific Summit in Sydney. "There is a lot that UNSW and Tata Consultancy Services can offer each other," Boyle said. "UNSW excels in taking our research breakthroughs and partnering with industry to make a significant global impact. Working with TCS will build on UNSW's strong international links and help accelerate innovation by opening up new opportunities around the world."

An artificial intelligence system has already successfully predicted the outcome of hundreds of cases at the European Court of Human Rights, according to rsearchers from the University College London and the universities of Sheffield and Pennsylvania who developed it. According to reports, the AI "judge" examined data sets for 584 cases, with all cases either relating to torture, degrading treatment and privacy. The algorithm analyzed the English language information for each case and then made a decision – a decision that proved to be 79 percent accurate. The vast majority of applications lodged with ECHR are deemed inadmissible, due to the fact the applications don't meet the court's required criteria. This means that each year the court receives thousands of applications it must read through to determine admissibility.

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Evolving technologies and the growing numbers of "always on", "always connected" devices, tools and commodities are giving the instigators of cyber-threats increased opportunities for access and interference. With statistics suggesting that assaults on individuals, corporations, and government bodies account for almost $400 billion in lost revenue annually, and some 90% of companies admitting to having been victim to some kind of attack – figures that translate to 18 individuals per second being affected by cyber-crime – countering these threats is a real and ongoing concern, for enterprises. Security personnel are finding themselves overwhelmed by the multiplicity of attack vectors and tools available to the cyber-criminals, and are increasingly looking to a new ally, in the quest for cyber security: AI.

MIT's Nightmare Machine puts Halloween scares in hands of AI