1 hr 4 min
216: Robot and Human Collaboration with Julie Shah Greater Than Code
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- Technology
02:21 - Julie’s Superpower: Working Really Hard and Maintaining Focused Attention on Things for a Long Period of Time
04:25 - Robotics and Working in Artificial Intelligence (AI)
What To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Julie and Laura Major’s book)
11:10 - Structuring and Optimizing the World for Machines, AI, and Robots
The Turing Test
Labeled Data
Teslas vs Airplanes
Mode Confusion
Ten challenges for making automation a "team player" in joint human-agent activity
26:10 - Understanding Output and Building Calibrated Trust
Mental Models
33:39 - Robots and Humans in Public Spaces
Predictability
Directability
Standardization
Infrastructure
Safety Imperatives
Future of Work Implications
Joint Activity
The Shannon Model
51:41 - What To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Book Discussion)
54:40 - More on Human/Machine Collaboration:
Girl Decoded: A Scientist's Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology
Reinforcement learning with human teachers: Evidence of feedback and guidance with implications for learning performance
Evaluating fluency in human–robot collaboration
Reflections:
Rein: There may be a sense in which AI or ML systems are categorically different from the sorts of systems we’ve tried to control in the past because you can’t characterize the variety of the system anymore just by observing its inputs and outputs.
Damien: Artificial intelligence is not human intelligence, nor should it be. The goals are making systems and human lives better; not making the computer better.
Julie: Aim for mediocrity!
This episode was brought to you by @therubyrep of DevReps, LLC. To pledge your support and to join our awesome Slack community, visit patreon.com/greaterthancode
To make a one-time donation so that we can continue to bring you more content and transcripts like this, please do so at paypal.me/devreps. You will also get an invitation to our Slack community this way as well.
Special Guest: Julie Shah.
Sponsored By:
Linode: Whether you're working on a personal project or managing enterprise infrastructure, you deserve simple, affordable, and accessible cloud computing solutions that allow you to take your project to the next level.
Simplify your cloud infrastructure with Linode's Linux virtual machines and develop, deploy, and scale your modern applications faster and easier.
Get started on Linode today with $100 in free credit for listeners of Greater Than Code. You can find all the details at linode.com/greaterthancode.
Linode has 11 global data centers and provides 24/7/365 human support with no tiers or hand-offs regardless of your plan size. In addition to shared and dedicated compute instances, you can use your $100 in credit on S3-compatible object storage, Managed Kubernetes, and more.
Visit linode.com/greaterthancode and click on the "Create Free Account" button to get started.Support Greater Than Code
02:21 - Julie’s Superpower: Working Really Hard and Maintaining Focused Attention on Things for a Long Period of Time
04:25 - Robotics and Working in Artificial Intelligence (AI)
What To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Julie and Laura Major’s book)
11:10 - Structuring and Optimizing the World for Machines, AI, and Robots
The Turing Test
Labeled Data
Teslas vs Airplanes
Mode Confusion
Ten challenges for making automation a "team player" in joint human-agent activity
26:10 - Understanding Output and Building Calibrated Trust
Mental Models
33:39 - Robots and Humans in Public Spaces
Predictability
Directability
Standardization
Infrastructure
Safety Imperatives
Future of Work Implications
Joint Activity
The Shannon Model
51:41 - What To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Book Discussion)
54:40 - More on Human/Machine Collaboration:
Girl Decoded: A Scientist's Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology
Reinforcement learning with human teachers: Evidence of feedback and guidance with implications for learning performance
Evaluating fluency in human–robot collaboration
Reflections:
Rein: There may be a sense in which AI or ML systems are categorically different from the sorts of systems we’ve tried to control in the past because you can’t characterize the variety of the system anymore just by observing its inputs and outputs.
Damien: Artificial intelligence is not human intelligence, nor should it be. The goals are making systems and human lives better; not making the computer better.
Julie: Aim for mediocrity!
This episode was brought to you by @therubyrep of DevReps, LLC. To pledge your support and to join our awesome Slack community, visit patreon.com/greaterthancode
To make a one-time donation so that we can continue to bring you more content and transcripts like this, please do so at paypal.me/devreps. You will also get an invitation to our Slack community this way as well.
Special Guest: Julie Shah.
Sponsored By:
Linode: Whether you're working on a personal project or managing enterprise infrastructure, you deserve simple, affordable, and accessible cloud computing solutions that allow you to take your project to the next level.
Simplify your cloud infrastructure with Linode's Linux virtual machines and develop, deploy, and scale your modern applications faster and easier.
Get started on Linode today with $100 in free credit for listeners of Greater Than Code. You can find all the details at linode.com/greaterthancode.
Linode has 11 global data centers and provides 24/7/365 human support with no tiers or hand-offs regardless of your plan size. In addition to shared and dedicated compute instances, you can use your $100 in credit on S3-compatible object storage, Managed Kubernetes, and more.
Visit linode.com/greaterthancode and click on the "Create Free Account" button to get started.Support Greater Than Code
1 hr 4 min