UW System officials want the state to approve $38 million to modernize classrooms on campuses around the state. This 116 year old classroom in Agriculture Hall on UW-Madison's campus is used for large enrollment classes in key areas like biochemistry, nutritional science, math and economics. Our guest explains how the advancement of AI is forcing a reckoning in the academic and art worlds. Find out how to Support WPR.

When I first became focused on the military and existential concerns of AI in 2012, there was only a small handful of publications and organizations focused on the ethical concerns of AI. MIRI, the Future of Humanity Institute, the Institute for Ethics and Emerging Technologies, and the personal blogs of Ben Goertzel and Nick Bostrom was most of my reading at the time. These limited sources focused mostly on the consequences of artificial general intelligence (i.e. By 2014, artificial intelligence made its way firmly onto the radar of almost everyone in the tech world. New startups began (by 2015) ubiquitously including "machine learning" in their pitch decks, and 3-4-year-old startups were re-branding themselves around the value proposition of "AI."

It is incumbent upon business leaders and Australian organisations to put diversity and the ethical implications of artificial intelligence (AI) at the heart of innovation if we're to ensure the world's third major disruptive force is harnessed for human good. That was the big call-out made by Dr Catriona Wallace, founder and executive director of the ASX-listed machine learning tech innovator, Flamingo AI, during this week's CeBIT conference in Sydney. Speaking on the rise of AI and the relationship between humans and machines, the entrepreneur highlighted several facts and figures on the extent of AI impact and innovation over the short and longer-term horizon, as well as the good and negative potential human consequences that come with it. As outlined by Dr Wallace, disruptive technologies, such as AI, are predicted to be the third of three major problems the world is facing that could detrimentally affect humanity. The other two are climate change, and nuclear war.

AI is a powerful paradigm that cannot be ignored; it will reshape industries and enterprises around the globe. McKinsey estimates that "the adaptation of currently demonstrated automation technologies could affect 50 percent of the world economy, or 1.2 billion employees and $14.6 trillion in wages – China, India, Japan, and the United States--account for just over half of these totals." This promise is compelling, the ability to automate higher order work functions with a digital rather than human workforce is a disruptive force, and tho there are pros and cons, the reduction in costs and increase in efficiency, consistency and transparency is attractive. At Smartlogic, we think the'A' in'AI' would be more representative of today's machines if it stood for'Assisted' (rather than'Artificial') but we don't get to choose the words, so we will use the term AI. Assisted is more appropriate as it suggests a collaborative interplay between humans and machines (which are of course themselves a combination of various bits of hardware, software and networks).

Artificial Intelligence is real and it is here. But successfully putting AI into action isn't exactly a walk in the park -- it requires a fundamental rethinking of the business. The pressure is on -- 53 percent of executives responding to a recent survey said their industry has "already experienced disruption" due to AI. An example that applies to potential AI-driven disruption in the retail sector is Amazon's Go store in Seattle, which employs AI to operate with no checkout clerks or lines -- purchases are tracked as shoppers remove items from the shelves. Along with signaling disruption, a recent survey of 1,000 business and IT leaders commissioned by Infosys which finds AI -- as we know it today -- has moved beyond the experimentation stage, and is delivering real benefits.

AI is rocking medical diagnosis with its potential to incite drastic improvements to hospital processes. AI can process images and patient health records with more accuracy and expediency than humans are capable of, lessening physician workload, reducing misdiagnosis, and empowering clinical staff to provide more value. While early moving hospitals are already extracting value from AI in medical diagnosis, most US hospitals are at the very early stage of the AI transformation curve -- and they risk falling behind if they don't move now. In this report, Business Insider Intelligence examines the value of AI applications in three high-value areas of medical diagnosis -- imaging, clinical decision support, and personalized medicine -- to illustrate how the tech can drastically improve patient outcomes, lower costs, and increase productivity. We look at US health systems that have effectively applied AI in these use cases to illustrate where and how providers should implement AI.

Artificial Intelligence and Machine Learning are two of the disruptive forces in the industry today. Being in their early stages, they already have the potential to absolutely change the way business decisions are made in the organization. AI/ML favors companies with significant data stores on historic operations. So, it favors companies with scale and those who have invested in ERP, CRM, MES, Sensor Data, etc. and kept historic data. Very small companies and those that have thrown out historic data will be at a disadvantage." Conversations around Artificial intelligence and Machine Learning began in the 1950s. It was then that people started talking about these technologies academically, in relation to the business and what they could generally mean for the development of computer science. In 2019, AI and ML's all-encompassing presence within the business operations have transformed them from merely a niche solution to a mainstream disruptive force. Anil Arora, Principal Data Scientist, SAS India notes that an explosion of data sources, low costs of computational power and advancements in methods and algorithms are the catalysts that have led to the advancement of AI and ML over the last decade. Artificial intelligence is poised to unleash the next wave of digital disruption, and companies should prepare for it now. AI promises benefits, but also poses urgent challenges that cut across firms, developers, government, and workers. The workforce needs to be reskilled to exploit AI rather than compete with it."

An overwhelming majority (94 per cent) of UK-based financial services industry decision-makers believe that Artificial Intelligence (AI) has the most potential to revolutionise the sector over the next five years, considerably ahead of blockchain (53 per cent) and the Internet of Things (24 per cent). Intertrust, a provider of administrative services to clients operating and investing in the international business environment, surveyed UK-based executives covering the asset management, capital markets and private wealth sectors to identify the value-add delivered by new technologies now and in the future. Some 83 per cent of respondents believe that operations roles are the most likely to be replaced or dramatically changed by AI, robotics and blockchain, ahead of accounting (82 per cent), and compliance (65 per cent). While AI is seen as the clear frontrunner among disruptive technologies, its rollout is being hindered by a skills shortage. Some 41 per cent of respondents said they are struggling to recruit AI specialists, ahead of those working in data-analytics (29 per cent), cybersecurity (18 per cent) and compliance (18 per cent).

In the 21st century, governments cannot ignore how changes in technology will affect employment and political stability. The automation of work – principally through robotics, artificial intelligence (AI) and the Internet of things (IoT), collectively known as the Fourth Industrial Revolution – will provide an unprecedented boost to productivity and profit. It will also threaten the stability of low- and mid-skilled jobs in many developing and middle-income countries. Developing countries must begin seriously considering how technological changes will impact labour trends. Technology now looms just as large a disruptive force, if not larger, than the whims of global capital.

This CHIEF working group seeks to establish a common understanding of AI in Canadian healthcare, examine current and future applications, and recommend how Canadian organizations can prepare for and harness the potentially disruptive force of AI. Please take this seven minute anonymous questionnaire to contribute to the Artificial Intelligence Working Group. Thank you for your participation. Artificial Intelligence (AI) is the use of complex algorithms and software to approximate human cognition in the analysis of complex data. The goal of AI research is for technological devices to simulate cognitive behaviour intelligently.