46 min.
EP23 Idealoading: "Human Machine Understanding - The Machine as team a mate!" Michelle Lim & Ali Shafti Idea Loading
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- Technologie
🚨Super excited a new #idealoading #podcast with 2 brilliant people ❤️ Michelle Lim Ali Shafti on: "Human Machine Understanding - The Machine as team a mate!" Wouldn't it be great if machines could really understand us. The way we talk, think, react, work and interact. Wouldn't that be the perfect extension to us. A perfect collaboration between human and machine? That is exactly what Michelle and Ali are working on. Their field of research is on that fascinating cross road of Psychology & Technology, to build the world context for machines that human naturally have.
We have discussed so many things, but here are the main topics and things you will learn from listing to this podcast:
🤔 What if your washing machine could talk and understand you? 😁
🤼♀️ How Machines are moving from tools to teammates!
🤖 What is machine empathy?
🧠 How do we build trust with the machine?
💁What do you see as uniquely human and difficult to replicate into AI?
🤷Will we have small personalised / finetuned models to our habits/thoughts rather than general AI?
📲Jarvis in the pocket - what will this mean for collaboration?
Super excited, what an amazing conversation! Big thank you to my guest! And I hope that they will join us once more! Have fun.
Bio's:
Michelle Lin
Psychology x Technology | Behavioural Scientist working on Human Machine Understanding. passion is in developing emotionally intelligent technology that can understand humans at least as well as a behavioural scientist can.
Humans are adaptable yet resistant, intelligent yet irrational. Rich understanding of human cognition and behaviour, backed by empirical evidence, can help guide us through the infinite applications of technology. How best should we harness the power of Psychology?
Ali Shafti
Technical Lead in Human-Machine Understanding at Cambridge Consultants PHD kings London college, “created new methodologies for explainable and interpretable AI for more intuitive and trustworthy human-AI and human-robot interaction.”
check out the other podcast episodes: www.idealoading.com
🚨Super excited a new #idealoading #podcast with 2 brilliant people ❤️ Michelle Lim Ali Shafti on: "Human Machine Understanding - The Machine as team a mate!" Wouldn't it be great if machines could really understand us. The way we talk, think, react, work and interact. Wouldn't that be the perfect extension to us. A perfect collaboration between human and machine? That is exactly what Michelle and Ali are working on. Their field of research is on that fascinating cross road of Psychology & Technology, to build the world context for machines that human naturally have.
We have discussed so many things, but here are the main topics and things you will learn from listing to this podcast:
🤔 What if your washing machine could talk and understand you? 😁
🤼♀️ How Machines are moving from tools to teammates!
🤖 What is machine empathy?
🧠 How do we build trust with the machine?
💁What do you see as uniquely human and difficult to replicate into AI?
🤷Will we have small personalised / finetuned models to our habits/thoughts rather than general AI?
📲Jarvis in the pocket - what will this mean for collaboration?
Super excited, what an amazing conversation! Big thank you to my guest! And I hope that they will join us once more! Have fun.
Bio's:
Michelle Lin
Psychology x Technology | Behavioural Scientist working on Human Machine Understanding. passion is in developing emotionally intelligent technology that can understand humans at least as well as a behavioural scientist can.
Humans are adaptable yet resistant, intelligent yet irrational. Rich understanding of human cognition and behaviour, backed by empirical evidence, can help guide us through the infinite applications of technology. How best should we harness the power of Psychology?
Ali Shafti
Technical Lead in Human-Machine Understanding at Cambridge Consultants PHD kings London college, “created new methodologies for explainable and interpretable AI for more intuitive and trustworthy human-AI and human-robot interaction.”
check out the other podcast episodes: www.idealoading.com
46 min.