Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
You may have heard about the Internet of Things (IoT). But you may also have wondered about what it is. Or for that matter, what does it mean to you or an organization. This course is for you if you are curious about the most recent trends and activities in the internet capabilities and concerns about programmed devices. There are complexities and areas of necessary awareness when the industrial sector becomes connected to your home.
The smartest companies now approach cybersecurity with a risk management strategy. Learn how to make policies to protect your most important digital assets. The Royal Melbourne Institute of Technology (RMIT) has announced a new online course on cybersecurity in a bid to address Australia's cybersecurity skills shortage. As part of the course, RMIT Online has partnered with the National Australia Bank (NAB) and Palo Alto Networks, with both organisations to provide mentors for the course. The course, called Cyber Security Risk and Strategy, will cover topics such as the fundamentals of cybersecurity and how to apply cybersecurity risk mitigation strategies to an organisation.
This is an integrative review that address the question, "What makes for a good explanation?" with reference to AI systems. Pertinent literatures are vast. Thus, this review is necessarily selective. That said, most of the key concepts and issues are expressed in this Report. The Report encapsulates the history of computer science efforts to create systems that explain and instruct (intelligent tutoring systems and expert systems). The Report expresses the explainability issues and challenges in modern AI, and presents capsule views of the leading psychological theories of explanation. Certain articles stand out by virtue of their particular relevance to XAI, and their methods, results, and key points are highlighted. It is recommended that AI/XAI researchers be encouraged to include in their research reports fuller details on their empirical or experimental methods, in the fashion of experimental psychology research reports: details on Participants, Instructions, Procedures, Tasks, Dependent Variables (operational definitions of the measures and metrics), Independent Variables (conditions), and Control Conditions.
As of last year, there were some 627,000 unfilled jobs in the technology market, and that number has only grown since then. Why? Almost every industry -- from Wall Street to Hollywood to social media companies to car factories -- needs IT professionals. Just look at the cybersecurity sector: thanks to the ever-increasing threats of data theft and cyber-terrorism, that industry is going to need 3.5 million warm bodies to help secure the web by 2021. As you might guess, these highly valued professions are commensurately rewarding. In fact, the average IT gig pays $87K a year and is likely to last, as IT unemployment is currently below 2.5%.