Designing the Robot Revolution

By: Jacob Magnell & David Griffith-Jones
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  • Summary

  • Robots are now in every aspect of our daily lives, from helping in nursing homes to steering our cars and working the factory floor. Once human to do’s, now packaged into services. Peering into and sometimes beyond the hype of Industry 5.0, The Internet of Things and AI, two service designers, Jacob and David, talk to the people designing how our world will work in and after the automation revolution.

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Episodes
  • What Could Go Wrong? Designing AI with Risk in Mind

    What Could Go Wrong? Designing AI with Risk in Mind
    Dec 17 2024

    Risk isn’t just something to manage—it’s something we need to design for.


    In this episode, we explore how to think about risk in AI and automation, referencing tools like the National Institute for Standards' Risk Management Framework and its accompanying playbook, as well as the UK Information Commissioner's Office’s Checklist for common risk scenarios. From frameworks to practical checklists, we’ll discuss how identifying and addressing risks can help us create more reliable, responsible AI systems.


    LINKS


    National Institute of Standards & Technology - AI Risk Management Playbook

    Information Commissioner's Office - AI and data protection risk toolkit



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    35 mins
  • Designing Social Robots: Making Machines Feel Human – with Samer Al Moubayed

    Designing Social Robots: Making Machines Feel Human – with Samer Al Moubayed
    Dec 10 2024
    In this episode of Designing the Robot Revolution, we speak with Samer Al Moubayed, CEO of Furhat Robotics, about the future of humanoid robots and their potential at scale. We explore how design and psychology are transforming human-robot interactions to feel more natural and intuitive, as well as the most impactful use cases for social robots. Samer shares insights on Furhat AI, a platform that simplifies robot programming and expands accessibility to human-robot interaction. The conversation also covers cultural differences in robotics innovation across the Middle East, Europe and Silicon Valley.

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    36 mins
  • Largeness of LLM's: Diminishing Returns?

    Largeness of LLM's: Diminishing Returns?
    Nov 15 2024

    In this episode of Designing the Robot Revolution, David and Jacob explore whether the increasing size of large language models (LLMs) is delivering meaningful improvements or reaching a point of diminishing returns. They discuss the balance between scale and utility, questioning how much of these massive models' potential is actually being used and what a plateau would mean for ideation.


    LINKS


    OpenAI, Google and Anthropic are struggling to build more advanced AI




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    21 mins

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