The robots will rise in business education in 2018, according to the world's top deans. BusinessBecause's annual forecasting article found that business school heads see artificial intelligence (AI) as one of the trends having the biggest impact on management education in the year ahead. Francisco Veloso, dean of Imperial College Business School in London says: "Digital and AI are rapidly changing the way we live and work in significant ways, so I expect to see schools placing a stronger focus on these areas in 2018." "As businesses transform to keep up with the pace of technological change, schools will need to do more to provide students with the tools they need to undertake careers or start businesses in areas such as blockchain, fintech, crowdfunding, or social innovation," he adds Business schools will also pay more attention to the ethics behind tech innovation, according to Bill Boulding, dean of Duke University's Fuqua School of Business in North Carolina. He says: "We can't lose the human element in technological advances or we risk losing the values that anchor our lives.
Law students in the United States usually get a healthy dose of legal technology infused into their educations to prepare them for the future of law practice. Since most legal technology education, research, and innovation tends to happen here, students studying law in foreign countries may be at a disadvantage. One elite law school is trying to make sure its students don't get left behind. China's Peking University Law School has partnered with Gridsum, a cloud-based analytics platform, to create a research center that will focus on how artificial intelligence could be used in China's legal system. Gridsum will provide the technical and research backbone to the center as part of the partnership, drawing in part from AI technology developed for the company's "Faxin Wei Su" tool, a litigation service operating on Chinese communication platform WeChat's micro application platform.
As we further consider how to train future lawyers for the Algorithmic Society and develop the quality of thinking, listening, relating, collaborating, and learning that will define smartness in this new age, law schools must reach beyond their storied walls. In law, we must got beyond talking about algorithmic implications to actually help shape algorithmic performance. We need lawyers and programmers to work together to create a sound "machine learning corpus." There's potential for an entirely new subfield to emerge if given the right support. With many law school attached to major research universities, it's a great place to start this cross-pollination and interdisciplinary work.
This report sets out a series of strategic recommendations to the government, based on core pillars including data supply and exchange, skills and education and developing an artificial intelligence infrastructure in the UK, with a view to growing the country's AI sector, something which was also augmented by the recent Budget and government's Industrial Strategy White Paper this week. The professional panel included speakers such as Westminster Senior Lecturer and journalist Dr Mercedes Bunz, Westminster Business School Senior Lecturer Dr Steven Cranfield, and well known journalist and technology author Joanna Goodman, a Visiting Fellow at Westminster Law School's Centre on the Legal Profession. Speakers dissected the report and its implications for the future and were then questioned by the audience on the matter for nearly one and a half hours. Convener and Westminster Senior Lecturer in Law, as well as artificial intelligence, robotics and the law researcher, Dr Paresh Kathrani, who chaired the event, said: "2017 was undoubtedly an important year for artificial intelligence in the United Kingdom, not least with the House of Lords Select Committee on Artificial Intelligence's work on AI, this report and the recent Industrial Strategy White Paper. The University of Westminster and Westminster Law School will continue putting on LawTech and AI events in 2018 looking at these vital developments."
An artificial intelligence enabled robot has passed the written test of China's national medical licensing examination for the first time, marking another milestone in the quest for AI technology to match or surpass human intelligence. Named Xiaoyi, the robot developed by Tsinghua University and Chinese information technology firm iFlytek, achieved a score of 456, 96 points higher than the required mark of 360 points, according to a company announcement. To pass the text, Xiaoyi was required to memorize and understand the contents of one million medical images, 53 medical books, two million medical records, and 400,000 pieces of medical literature and medical reports, a task which normally takes five years of study by a medical student. The robot reportedly failed an earlier attempt to pass the test. "Xiaoyi's successful pass in the written exam represent a significant development in the field of cognitive intelligence," said iFlytek in the company announcement.
And in an increasingly data-driven industry, medical education hasn't kept pace. Medical education does little to train doctors in the data science, statistics, or behavioral science required to develop, evaluate, and apply algorithms in clinical practice." But that's only possible if medical teams adopt new members: Clinicians well-versed in computer science that can interpret analytics designed to "systematically analyze every heartbeat" that can treat "tens of thousands of Americans who might otherwise drop dead unexpectedly in any given year." And while developers and computer scientists are often frustrated with the industry's slow adoption of technology, validated clinical trials are a critical part of preventing the use of potentially harmful tools.
Dr. Keng Siau introduced artificial intelligence and machine learning into his business curriculum during the spring 2017 semester. The Artificial Intelligence, Robotics, and Information Systems Management course looks at the latest developments in artificial intelligence, machine learning, robotics, automation and advanced information technology, and "their effect on our current ways of life and work as well as on economic/business models," says Siau, professor and chair of the business and information technology department. Business managers and executives need to understand and comprehend the impending artificial intelligence, robotics, machine learning and automation revolution and its devastating impacts." "We are one of the pioneers in introducing artificial intelligence, machine learning, and robotics to our MBA students," Siau says.
Like most doctors, I spent four years in medical school learning to treat hundreds of illnesses and help patients manage their health. I spent very little of this time learning how to work with patients when modern medicine runs out of miracles -- and only a few hours, spread over four years, learning to lead end-of-life conversations and deliver bad news. A recent study of medical curricula, published last year in the American Journal of Hospice and Palliative Medicine, found that the average time dedicated to end-of-life care is 13 hours spread across multiple courses over four years. Medical schools need to teach doctors to do the same.
This evening event at Westminster Law School, University of Westminster, brings together three prominent experts in the fields of artificial intelligence, robotics and law for a conversation around current developments in these areas, followed by an opportunity for the audience to engage and ask questions. Chrissie Lightfoot is a prominent international legal figure, an entrepreneur, a legal futurist, legaltech investor, writer, international keynote speaker, legal and business commentator (quoted periodically in The Times and FT), solicitor (non-practising), Honorary Visiting Fellow at the University of Westminster School of Law, and author of best-seller The Naked Lawyer and Tomorrow s Naked Lawyer. Chair: Dr Paresh Kathrani is a Senior Lecturer in Law at Westminster Law School and a member of the Centre on the Legal Profession. He has written on the challenges that AI will bring for the legal profession and chaired a panel on artificial intelligence at Westminster Law School in 2015, as well as an AI film and debate series for the Centre for Law, Society and Popular Culture, of which he is also a member, in 2016.
Executives must become familiar with interacting with data scientists and must know how to leverage analytics to see new business opportunities, according to Shawn Mankad, assistant professor at Cornell University's College of Business, who teaches multiple courses on data science to MBAs. At Northwestern's Kellogg School of Management, a 10-week elective course on human and machine learning will run in April. Using sophisticated programs like IBM's Deep Blue and Google's AlphaGo, the course aims to teach MBAs to apply human and machine partnerships to grow businesses. At London Business School, Lynda Gratton, a professor of management practice who runs a one-week course on AI, is focusing on the so-called "soft skills" such as negotiation and creativity, which are unlikely to be best performed by machines.