Education, Data, and Generative AI - A Futurist Perspective with Kate Carruthers
Release Date: 01/18/2024
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info_outlineThe podcast was a special dual-production episode between the AI and Education podcast, and the Data Revolution podcast, welcoming Ray Fleming and Kate Carruthers as the guests. The conversation centred around the transformation of the traditional data systems in education to incorporating AI. Kate Carruthers, the Chief Data and Insights Officer at the University of New South Wales, and Head of Business Intelligence for the UNSW AI Institute, discussed the use of data in the business and research-related aspects of higher education. On the other hand, Fleming, the Chief Education Officer at InnovateGPT, elaborated on the growth and potential of generative Artificial Intelligence (AI) in educational technology and its translation into successful business models in Australia. The guests pondered the potential for AI to change industries, especially higher education, and the existing barriers to AI adoption. The conversation revolved around adapting education to make use of unstructured data through AI and dealing with the implications of this paradigm shift in education.
The Data Revolution podcast is available on Apple Podcasts, Google Podcasts and Spotify.
00:00 Introduction and Welcome
00:58 Guest Introductions and Backgrounds
01:56 The Role of Data in Education and AI
02:32 The Intersection of Data and AI in Education
04:11 The Importance of Data Quality and Governance
08:00 The Future of AI in Education
09:49 Generative AI as the Interface of the Future
10:20 The Potential of Generative AI in Business Processes
11:26 The Impact of AI on Traditional Roles and Skills
12:00 The Role of AI in Decision Making
13:46 The Future of AI in Email Communication
14:38 The Role of AI in Education and Career Guidance
16:34 The Impact of AI on Traditional Education Systems
18:18 The Role of AI in Academic Assessment
20:11 The Future of AI in Navigating Education Pathways
36:37 The Role of Unstructured Data in Generative AI
38:10 Conclusion and Farewell