{"id":36117,"date":"2019-10-02T14:13:24","date_gmt":"2019-10-02T12:13:24","guid":{"rendered":"https:\/\/www.getsmarter.com\/blog\/?p=36117"},"modified":"2022-06-15T16:05:02","modified_gmt":"2022-06-15T14:05:02","slug":"guest-experts-on-the-oxford-artificial-intelligence-programme","status":"publish","type":"post","link":"https:\/\/www.getsmarter.com\/blog\/guest-experts-on-the-oxford-artificial-intelligence-programme\/","title":{"rendered":"Guest Experts on the Oxford Artificial Intelligence Programme"},"content":{"rendered":"\n

Artificial intelligence (AI) is a pervasive, future-focused technology that has ignited many disruptive innovations across industries. <\/p>\n\n\n\n

The Oxford Artificial Intelligence Programme<\/a> provides you with diverse insights into the ethical, legal, and social considerations around AI. On completion of this programme you\u2019ll have an informed understanding of the possibilities and implications of this transformative technology in business.<\/p>\n\n\n\n

During the programme, you\u2019ll have the chance to expand your professional network as you study alongside a global cohort of like-minded professionals, while learning from accomplished professionals and leaders in their respective industries.<\/p>\n\n\n\n

Who you\u2019ll learn from<\/h2>\n\n\n\n

You\u2019ll study under the guidance of Programme Convenor Matthias Holweg, professor of operations management at Sa\u00efd Business School, University of Oxford, as well as an esteemed assemblage of guest experts. Meet them here:<\/p>\n\n\n\n

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Andrew Stephen<\/strong> \n<\/i><\/a>\n
Associate Dean of Research at L\u2019Or\u00e9al, Professor of Marketing at Sa\u00efd Business School, University of Oxford<\/em><\/p>\n\n\n\n

Andrew is a leading academic expert in data-driven, analytics-focused approaches to marketing. His research has made significant contributions to understanding digital marketing and advertising, specifically regarding the future of marketing. Andrew has won numerous awards for research excellence and was recently recognised by the American Marketing Association as the number one marketing academic in the UK.<\/p>\n\n\n\n

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Carl Benedikt Frey<\/strong> \n<\/i><\/a>\n
Programme Director at Oxford Martin School, University of Oxford<\/em><\/p>\n\n\n\n

Carl has served as an advisor and consultant to a number of international organisations, including the European Commission, the United Nations, and several Fortune 500 companies. In 2013, Carl co-authored a study The Future of Employment: How Susceptible Are Jobs to Computerization<\/em>, which has since been used as a risk-prediction tool by the BBC.<\/p>\n\n\n\n

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Charlotte Deane<\/strong> \n<\/i><\/a>\n
Head of the Statistics Department at the University of Oxford<\/em><\/p>\n\n\n\n

Charlotte is the first female head of department since the Statistics Department was created in 1988. As a professor of Structural Bioinformatics, Charlotte\u2019s research interests include protein structures, immunoinformatics, biological networks and small molecules. Charlotte is a part of the Oxford Protein Informatics Group, whose research covers several areas in protein structure and interaction networks.<\/p>\n\n\n\n

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Kenneth Cukier<\/strong> \n<\/i><\/a>\n
Senior Editor, Digital Products at <\/em>The Economist<\/p>\n\n\n\n

Kenneth oversees data analytics, and manages digital product development. He is a New York Times bestselling author on technology and business and has co-authored two books with fellow guest expert, Viktor Mayer-Schoenberger, Big Data: A Revolution that Will Transform How We Work, Live and Think and Learning with Big Data: The Future of Education.<\/em> <\/p>\n\n\n\n

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Luciano Floridi<\/strong> \n<\/i><\/a>\n
Professor of Philosophy and Ethics of Information at the University of Oxford<\/em><\/p>\n\n\n\n

As the director of the Oxford Internet Institute Digital Ethics Lab, Luciano\u2019s research predominantly targets digital ethics, focusing on the socio-ethical implications of digital technologies and their applications. He has published over 150 papers in his field of expertise, many of them in anthologies and peer-reviewed journals.<\/p>\n\n\n\n

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Mari Sako<\/strong> \n<\/i><\/a>\n
Professor of Management Studies at the University of Oxford<\/em><\/p>\n\n\n\n

Mari is a member of the UK Legal Services Board Research Strategy Group, a position that was a direct result of her research on the globalisation of legal services and the impact it has on business. Mari\u2019s expertise includes global strategy, comparative business systems, institutional analysis, globalisation of professional services firms, outsourcing and offshoring, and the legal services market. Her research has been published in five books and a multitude of journals.<\/p>\n\n\n\n

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Michael Osborne<\/strong> \n
Dyson Associate Professor in Machine Learning at the University of Oxford<\/em><\/p>\n\n\n\n

Within the field of machine learning, Michael has particular interest and expertise in Gaussian processes, active learning, Bayesian optimisation and Bayesian quadrature. Michael has successfully applied his work in machine learning to diverse contexts, from the detection of distant planets in solar systems to self-driving cars with the ability to determine when a map has changed.<\/p>\n\n\n\n

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Michael Wooldridge<\/strong> \n<\/i><\/a>\n
Professor of Computer Science at the University of Oxford<\/em><\/p>\n\n\n\n

Michael\u2019s research primarily focuses on building computers that embody the same social abilities that humans do, allowing them to cooperate, coordinate, and negotiate with each other. Michael\u2019s expertise includes information systems, logic, computational complexity, game theory, theory and practice of autonomous agents, and multi-agent systems.<\/p>\n\n\n\n

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Min Chen<\/strong> \n
Professor of Scientific Visualization at the University of Oxford<\/em><\/p>\n\n\n\n

As an internationally established scientist in the field of visualisation, Min has made significant contributions to volume graphics, video visualisation and the theory of visualisation. Min has a number of research projects in motion, including a function on text corpora visualisation. Min hopes to develop a smart visualisation technique that will enable the user to gain complex temporal data insights without using traditional animation techniques.<\/p>\n\n\n\n

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Natalia Efremova<\/strong> \n<\/i><\/a>\n
Fellow in Marketing and AI at the University of Oxford<\/em><\/p>\n\n\n\n

Over the past ten years, Natalia has gained recognition for her work in deep learning for image and video processing, centred in the domains of biometrics and emotion recognition. Natalia has an MBA from the University of Oxford and a PhD in Computer Science from the University of Kyoto. She is recognised for both her academia and industry research, much of which has been published in top machine learning conferences.<\/p>\n\n\n\n

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Nir Vulkan<\/strong> \n<\/i><\/a>\n
Associate Professor of Economics at Sa\u00efd Business School, University of Oxford<\/em><\/p>\n\n\n\n

Nir is an e-commerce and market design expert, and the author of The Economics of E-Commerce: A Strategic Guide to Understanding and Designing the Online Marketplace<\/em>. The book investigates online trading mechanisms and the impact that web-based technologies have on both consumers and retailers. Nir\u2019s latest research and expertise lies in markets \u2013 both virtual and those confined to particular geographical locations.<\/p>\n\n\n\n

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Paul Newman<\/strong> \n<\/i><\/a>\n
BP Professor of Information Engineering at the University of Oxford, Co-Founder and CTO of Oxbotica<\/em><\/p>\n\n\n\n

As the director of the Oxford Robotics Institute, Paul continues to extend the reach and endurance of mobile robotics. With over 200 papers contributing to the advancement of robotics, Paul has worked on algorithms and software for the robust autonomous navigation of both land and sub-sea agents. He co-founded the company, Oxbotica, which supplies autonomy software to vehicle manufactures around the world.<\/p>\n\n\n\n

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Sally Maitlis<\/strong> \n<\/i><\/a>\n
Professor of Organisational Behaviour and Leadership at the University of Oxford<\/em><\/p>\n\n\n\n

As a specialist in qualitative research, Sally is able to closely observe individual, team and organisational processes as they unfold in real time, and analyse these processes through talk and text. Sally\u2019s research focuses on sensemaking, emotions, adversity, and growth. <\/p>\n\n\n\n

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Stephen Roberts<\/strong> \n<\/i><\/a>\n
Professor of Machine Learning at the University of Oxford, Co-Founder and Scientific Advisor at Mind Foundry.<\/em><\/p>\n\n\n\n

Stephen\u2019s interests and expertise lie in intelligent data analysis and methods for solving complex problems in analysis, especially those in which noise and uncertainty abound. Currently, Stephen is researching ways in which the application of intelligent data analysis can be applied to astronomy, biodiversity monitoring, smart networks, sensor networks, and finance. <\/p>\n\n\n\n

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Teppo Felin<\/strong> \n<\/i><\/a>\n
Professor of Strategy at the University of Oxford<\/em><\/p>\n\n\n\n

As the academic director of the Diploma in Strategy and Innovation at Sa\u00efd Business School, Teppo\u2019s areas of expertise include strategy, entrepreneurship and innovation, complex systems, and competitive advantage. Teppo is also engaged with business and the wider academic community and is seen as a highly acclaimed, award-winning researcher, with his work published in a large number of top journals. <\/p>\n\n\n\n

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Tim Morris<\/strong> \n<\/i><\/a>\n
Professor of Management Studies at the University of Oxford<\/em><\/p>\n\n\n\n

Tim is widely acknowledged as a leading international expert in the field of professional service firms (PSFs). Tim\u2019s other area of research, conducted with colleagues at Sa\u00efd Business School, focuses on the role and development of CEOs in large corporations. As an expert in his field, Tim teaches on a wide range of programmes that are customised to help firms and executives grapple with the complex and pressing organisational and leadership challenges they face. <\/p>\n\n\n\n

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Viktor Mayer-Schoenberger<\/strong> \n<\/i><\/a>\n
Professor of Internet Governance and Regulation at the University of Oxford<\/em><\/p>\n\n\n\n

In addition to his role as a professor, Viktor is also an author with 11 published books, including the international bestseller, Big Data<\/em>. His research focuses predominantly on the role of information in a networked economy. Viktor is sought-after in print and broadcast media worldwide with his work featured in publications such as the New York Times, Wall Street Journal, Financial Times, The Economist<\/em>, and many more.<\/p>\n\n\n\n \n

\n \n\n\n\n

Study artificial intelligence with Oxford Sa\u00efd<\/h2>\n\n\n\n

In order to understand AI and its true potential, you must first understand its evolution and functionality, as well as the challenges within its applications.<\/p>\n\n\n\n

Register now<\/a> to gain a holistic view of AI with global perspectives and insights from a panel of experts, and discover how to strategically integrate artificial intelligence into your business.<\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence (AI) is a pervasive, future-focused technology that has ignited many disruptive innovations across industries. The Oxford Artificial Intelligence Programme provides you with diverse insights into the ethical, legal, and social considerations around AI. 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