14 episodes

Featuring inspiring stories of people who are paving the way and shaping the future of artificial intelligence, in ways that are human, humanity, and planet centered. Brought to you by DEUS: human(ity)-centered artificial intelligence.

The Human-Centered AI Podcast DEUS

    • Technology

Featuring inspiring stories of people who are paving the way and shaping the future of artificial intelligence, in ways that are human, humanity, and planet centered. Brought to you by DEUS: human(ity)-centered artificial intelligence.

    Raising Heretics: teaching kids to change the world, with Linda McIver - Australian Data Science Education Institute

    Raising Heretics: teaching kids to change the world, with Linda McIver - Australian Data Science Education Institute

    In today’s episode we are joined by Linda McIver, Executive Director at the Australian Data Science Education Institute and author of Raising Heretics: teaching kids to change the world.
    In the book she explores how data science education can change the world and she proposes a new approach to education that empowers children to solve real problems, challenge their own results, and shake up the status quo on the basis of evidence and data. 
    In todays episode we talk about Linda’s upcoming book and explore the current education system, data literacy, the ways in which were misunderstanding science and how we can change our education system and raise heretics. 

    • 43 min
    Technically responsible knowledge & a feminist data set, with Caroline Sinders

    Technically responsible knowledge & a feminist data set, with Caroline Sinders

    In this episode we are joined by Caroline Sinders, machine-learning-design researcher artist and online harassment expert.  We talk about human-rights centered design, and Caroline’s multi-year feminist data set project.  In specific, we discuss one of her latest initiatives called technically responsible knowledge, a tool and advocacy initiative spotlighting unjust labor in the machine learning pipeline.

    • 54 min
    How do you feel about agile? Building ML products, with Jenn Gamble (PhD) - Very

    How do you feel about agile? Building ML products, with Jenn Gamble (PhD) - Very

    In today’s episode we are joined by Jenn Gamble (PhD). Jenn is the Data Science Practice Lead at Very and holds a PhD in electrical engineering.  We talk about building machine learning products and the different practices it involves. We dive into the data science development lifecycle, agile development practices, interdisciplinary team work and practices such as ML Ops, test driven development and pair programming. 

    • 37 min
    Predicting the unintended consequences of AI, with Niya Stoimenova - TU Delft

    Predicting the unintended consequences of AI, with Niya Stoimenova - TU Delft

    Today we're joined by Niya Stoimenova, a PhD Researcher in AI and Design at TU Delft. We talk about her research on uncovering the unintended consequences of AI. We also talk about her recently published paper on designing with and for artificial intelligence, and finally, we talk about adaptive organisations in the context of artificial intelligence. 

    • 37 min
    Climate tech & the road to Net Zero, with Sherif Elsayed-Ali - Carbon Re

    Climate tech & the road to Net Zero, with Sherif Elsayed-Ali - Carbon Re

    In this episode, we are joined by Sherif Elsayed-Ali, Co-founder and CEO of Carbon Re, a recently founded climate tech start-up. Previously Sherif headed up the AI for Climate practice at Element AI, and prior to that co-founded and led Amnesty Tech. 
    We talk about Sherif’s company, Carbon Re, and how they’re helping organisations to increase efficiency and reduce emissions. We also talk about the ‘Tech for Climate’ space in general and explore the role that technology can play in the climate challenges we are facing. 

    • 41 min
    Dynamics of AI Principles, with Cansu Canca - AI Ethics Lab

    Dynamics of AI Principles, with Cansu Canca - AI Ethics Lab

    In this episode, we're joined by Cansu Canca, philosopher and founder of AI Ethics Lab. At AI Ethics Lab, Cansu leads teams of computer scientists, philosophers, and legal scholars to provide ethics analysis and guidance to researchers and practitioners. 
    In this episode, we dive into the work Cansu does at AI Ethics Lab, and in particular their latest initiative, “Dynamics of AI Principles”. We talk about the role of AI principles, the difference between core principles and instrumental principles, and how organisations can go about operationalising AI ethics. We also discuss the flagship model of AI Ethics Lab: “Puzzle-Solving in Ethics”.

    • 38 min

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