Interdisciplinary Learning In The AI Age

In the age of generative AI, a lot of fundamental traditional tech skills such as writing code & building software is shifting to be done through tools. Existing higher education models focused on skill building are not equipped to handle this shift, which can render a lot of graduates unemployable. For tech graduates, the way forward is to learn how to engage with wicked problems - complex social & systems problems which don't have simple solutions and require broad problem solving frameworks to tackle, and due to their complex nature, require human grounding to be understood. This is possible through adopting an interdisciplinary learning approach, where knowledge of tech is guided by humanities, sciences & place immersion.

• Understand the hollowing out effect of tech which generative AI will unleash

• Learn about complex human, social & planning "wicked" problems, which cannot be solved in a simple fashion.

• Understand the importance of lateral, interdisciplinary thinking which builds long-term capabilities to tackle these "wicked" problems.

• Learn & understand how to build these long term capabilities which are useful regardless of whether you work in tech, business or the social sector.