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Zühlke에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Zühlke 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Should we trust AI as a creative collaborator with Professor Anjana Susarla

27:26
 
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Manage episode 506628668 series 3456968
Zühlke에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Zühlke 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

By 2026, Europol estimates that more than 90% of online content could be AI-generated – from music and written work to imagery and beyond. But what does this shift mean for creativity, originality, and the role of human value in the process?

In this episode of Tech Tomorrow, David Elliman speaks with Anjana Susarla, Professor of Responsible AI at the Eli Broad College of Business, Michigan State University. Together, they explore whether AI can truly be trusted as a creative collaborator in both work and wider society.

Their conversation looks at how the traditional process of drafting and redrafting may change when AI enters the picture, and the rise of so-called ‘AI slop’ – mass-produced, low-quality outputs – in areas such as writing, design, and programming.

They also consider whether agentic AI might one day predict our preferences more accurately than we can ourselves, and reflect on the persistent hype and ‘magic’ surrounding new AI tools, asking what this means for the future of creativity, business, and work.

Episode Highlights:


00:47 –
What happens to the iterative creative process when AI is introduced?

02:59 – The polarising reactions to AI tools.

04:03 – Do we even like the creative outputs of AI?

05:16 – David’s thoughts: Can we put a qualitative value on creativity?


06:31 –
What was the AI-generated podcast based on Anjana’s paper like?

10:28 – The homogenising effect of AI.

11:45 – Feedback loops and the halo effect.

13:04 – David’s thoughts: AI prediction models.

16:28 – Human oversight in AI creativity.

19:08 – Maintaining the quality of AI-generated outputs.

21:05 – David’s thoughts: What happens when AI tools enter the workplace?

23:08 – AI creativity, brain drain, and deskilling

24:58 – Should we trust AI as a creative collaborator?


About Zühlke:
Zühlke is a global transformation partner, with engineering and innovation at its core. We help clients envision and build their businesses for the future – running smarter today while adapting for tomorrow’s markets, customers, and communities.

Our multidisciplinary teams specialise in technology strategy and business innovation, digital solutions and applications, and device and systems engineering. We thrive in complex, regulated sectors such as healthcare and finance, connecting strategy, implementation, and operations to help clients build more effective and resilient businesses.


Links:

  continue reading

20 에피소드

Artwork
icon공유
 
Manage episode 506628668 series 3456968
Zühlke에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Zühlke 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

By 2026, Europol estimates that more than 90% of online content could be AI-generated – from music and written work to imagery and beyond. But what does this shift mean for creativity, originality, and the role of human value in the process?

In this episode of Tech Tomorrow, David Elliman speaks with Anjana Susarla, Professor of Responsible AI at the Eli Broad College of Business, Michigan State University. Together, they explore whether AI can truly be trusted as a creative collaborator in both work and wider society.

Their conversation looks at how the traditional process of drafting and redrafting may change when AI enters the picture, and the rise of so-called ‘AI slop’ – mass-produced, low-quality outputs – in areas such as writing, design, and programming.

They also consider whether agentic AI might one day predict our preferences more accurately than we can ourselves, and reflect on the persistent hype and ‘magic’ surrounding new AI tools, asking what this means for the future of creativity, business, and work.

Episode Highlights:


00:47 –
What happens to the iterative creative process when AI is introduced?

02:59 – The polarising reactions to AI tools.

04:03 – Do we even like the creative outputs of AI?

05:16 – David’s thoughts: Can we put a qualitative value on creativity?


06:31 –
What was the AI-generated podcast based on Anjana’s paper like?

10:28 – The homogenising effect of AI.

11:45 – Feedback loops and the halo effect.

13:04 – David’s thoughts: AI prediction models.

16:28 – Human oversight in AI creativity.

19:08 – Maintaining the quality of AI-generated outputs.

21:05 – David’s thoughts: What happens when AI tools enter the workplace?

23:08 – AI creativity, brain drain, and deskilling

24:58 – Should we trust AI as a creative collaborator?


About Zühlke:
Zühlke is a global transformation partner, with engineering and innovation at its core. We help clients envision and build their businesses for the future – running smarter today while adapting for tomorrow’s markets, customers, and communities.

Our multidisciplinary teams specialise in technology strategy and business innovation, digital solutions and applications, and device and systems engineering. We thrive in complex, regulated sectors such as healthcare and finance, connecting strategy, implementation, and operations to help clients build more effective and resilient businesses.


Links:

  continue reading

20 에피소드

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