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AI Literacy

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About This Learning Experience

AI is now a central consideration in organisational strategic planning in all sectors. The acceleration of technology adoption, Industrial Revolution 4.0, digitisation of the modern economy, and the rapid rise of social networks, has produced unprecedented data. Data provides the foundation for new AI models and approaches for human and machine interaction. During the covid crisis, over 1500 articles were being written per week - far more than humans can read and process. In complex settings such as national security threats, streams of data are beyond what humans can manage. In response, organisations now adopt AI to support human cognitive and knowledge processes. This results in new questions about how to best position AI for supporting learning, sense making, and decision making. Notably, how do we invest resources - human and economic - to prepare organisational capacity to integrate AI meaningfully? This workshop will provide senior leaders with a landscape of AI concepts and technologies, including detailed analysis of what remains the exclusive domain of human cognition and what should be handed over to the machine. It will also present models of AI adoption and the role of leadership in supporting innovative technologies in complex organisational settings.

Professor George Siemens

Professor George Siemens researches networks, analytics, and human and artificial cognition in education. He has delivered keynote addresses in more than 35 countries on the influence of technology and media on education, organizations, and society. His work has been profiled in provincial, national, and international newspapers (including NY Times), radio, and television. He has served as PI or Co-PI on grants with funding from NSF, SSHRC (Canada), Intel, Bill and Melinda Gates Foundation, Boeing, and the Soros Foundation. He has served as a collaborator on international grants in European Union, Singapore, Australia, Senegal, Ghana, and UK. He has received numerous awards, including honorary doctorates from Universidad de San Martín de Porres and Fraser Valley University for his pioneering work in learning, technology, and networks. He holds an honorary professorship with University of Edinburgh. Professor Siemens is a founding President of the Society for Learning Analytics Research. In 2008, he pioneered massive open online courses (sometimes referred to as MOOCs).

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Dr Srecko Joksimovic

Dr Srecko Joksimovic is a Senior Lecturer in Data Science at the Education Futures, University of South Australia. His research is centred around augmenting abilities of individuals to solve complex problems in collaborative settings. Srecko is particularly interested in evaluating the influence of contextual, social, cognitive, and affective factors on groups and individuals as they solve complex real-world problems. In so doing, he utilizes a wide range of methods from machine learning, artificial intelligence, and natural language processing, as well as data science and social computing in general. Srecko has a strong publication record in top journal and conference venues in the fields of learning analytics, educational data mining, and learning technologies. His work has received considerable recognition in the international research community as evidenced through several best paper awards, scholarships, and stipends. He has been actively involved in the development of the learning analytics research field. He served on the Executive Committee of the Society for Learning Analytics Research for four years, between 2015 and 2019. Currently, Srecko is a Committee member of the ASCILITE Learning Analytics SIG and a LAK21 Conference Program Chair.

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