EASA envisions three stages of AI's rollout in aviation: systems that will assist pilots (2022–2025); human-machine collaboration in flying an aircraft, such as a "virtual" first officer (2025–2030); and autonomous commercial air transport, or, more colloquially, pilotless airliners that fly themselves (2035 and beyond). EASA broadly defines AI as "any technology that appears to emulate the performance of a human." Ultimately, the widespread deployment of AI in aviation comes down to a matter of trust, EASA stated. "A European ethical approach to AI is central to strengthen citizens' trust in the digital development and aims at building a competitive advantage for European companies," according to the EASA roadmap. "Only if AI is developed and used in a way that respects widely shared ethical values can it be considered trustworthy. Therefore, there is a need for ethical guidelines that build on the existing regulatory framework. In June 2018, the [European] Commission set up a High-Level Expert Group on Artificial Intelligence (AI HLEG), the general objective of which was to support the implementation of the European strategy on AI. This includes the elaboration of recommendations on future-related policy development and on ethical, legal and societal issues related to AI, including socio-economic challenges. In April 2019, the AI HLEG proposed the following seven key requirements for trustworthy AI, which were published in its report on Ethics Guidelines on Trustworthy Artificial Intelligence."

Artificial Intelligence: Solving problems, growing the economy and improving our quality of life outlines the importance of action for Australia to capture the benefits of artificial intelligence (AI), estimated to be worth AU$22.17 Published by the Australian Government in November 2019, and codeveloped by CSIRO's Data61 and the Department of Industry, Innovation and Science, the report identifies strategies to help develop a national AI capability to boost the productivity of Australian industry, create jobs and economic growth, and improve the quality of life for current and future generations. The roadmap identifies three high potential areas of AI specialisation for Australia based on the opportunity to solve significant problems at home, export the solutions to the world and build on Australia's existing strengths. This report is intended to help guide future investment in AI and machine learning, and accompanies Artificial Intelligence: Australia's Ethics Framework, a discussion paper prepared by CSIRO's Data61 and published by the Australian Government in April 2019.

In fall 2018, the Computing Community Consortium (CCC) initiated an effort to create a 20-Year Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President-Elect of AAAI). The goal of the initiative was to identify challenges, opportunities, and pitfalls in the AI landscape, and to create a compelling report to inform future decisions, policies, and investments in this area. The Roadmap was based on broad community input gathered via a number of forums and communication channels: three topical workshops during the fall and winter of 2018/2019, a Town Hall at the annual meeting of the AAAI, and feedback from other groups of stakeholders in industry, government, academia, and the agencies. A draft of the Roadmap was made available on May 13, 2019 for comment by the computing research community. Following the comment period and further revision, the final version was released on August 6, 2019.

NEW DELHI: The ministry of electronics and IT has formed four committees to prepare a roadmap for the national artificial intelligence programme. The committees will be headed by IIT directors and experts from industry bodies such as Nasscom, union minister for electronics and IT Ravi Shankar Prasad said. The four committees will be for citizen centric services; data platforms; skilling, reskilling and R&D; and legal regulatory and cybersecurity. The ministry will promote high level research in these areas, the minister said, adding: "We must learn new dimensions of AI." MeitY will also assist the government machinery to implement technologies such as AI and 3D printing, he said. It is also looking at the blockchain technology and working on developing standards and regulations around it.

From being able to offer an omnichannel customer experience across multiple channels to internet-enabled devices connecting directly to contact centers to provide proactive service, there is no doubt that the days of the single channel call center are long gone. An intelligent routing solution can rout interactions from multiple channels, including voice, email, chat, social, mobile, and more. AI technology is also being used now to create smart customer care solutions that mimic customer care agents with humanlike recommendations and high precision search. Virtual contact center assistants make it fast and efficient for customers to obtain the help they need.

There are many innovations that are rapidly changing the landscape of the contact center. From being able to offer an omnichannel customer experience across multiple channels to internet-enabled devices connecting directly to contact centers to provide proactive service, there is no doubt that the days of the single channel call center are long gone. One of the most interesting innovations that is being increasingly discussed by visionaries and industry experts is artificial intelligence. While there are multiple definitions for artificial intelligence or "AI," the term is most commonly applied when a Machine uses leading-edge technology to perform or mimic "cognitive" functions that are intuitive within the human brain, such as problem-solving and learning. Some of the most recognizable current forms of AI are self-driving cars and computers that can beat even professional players in chess.

There are many innovations that are rapidly changing the landscape of the contact center. From being able to offer an omnichannel customer experience across multiple channels to internet-enabled devices connecting directly to contact centers to provide proactive service, there is no doubt that the days of the single channel call center are long gone. One of the most interesting innovations that is being increasingly discussed by visionaries and industry experts is artificial intelligence. While there are multiple definitions for artificial intelligence or "AI," the term is most commonly applied when a machine uses leading-edge technology to perform or mimic "cognitive" functions that are intuitive within the human brain, such as problem-solving and learning. Some of the most recognizable current forms of AI are self-driving cars and computers that can beat even professional players in chess.

A few short months ago, Intel acquired Nervana Systems for 400 million dollars with the intention of using the technology they developed in order to be competitive in the deep learning market currently dominated by GPU-based solutions from NVIDIA. Artificial Intelligence is a big market for Intel and the company sees it as a pivotal ground that they must put a stake in or risk falling behind like they did on the mobile front. With Nervana's technology, Intel is expecting to produce "a breakthrough 100-fold increase in performance in the next three years to train complex neural networks", says Intel CEO Bryan Krzanich in a recent editorial. Nervana's technology will be a PCIe add-in card expected to hit be out sometime around the first half of 2017, codenamed Lake Crest and incorporates HBM technology that is directly targeting current GPU solutions. Intel believes that GPGPU architecture is not uniquely advantageous for AI and that their approach can support much larger models and is much more highly scalable.