Education, Data, and Generative AI - A Futurist Perspective with Kate Carruthers

AI Education Podcast

The 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