# How do we learn to work with intelligent machines?

- Institution: TED
- Department: TED Salon Zebra Technologies
- Speaker: Matt Beane
- Year: 2018
- Level: For everyone
- Language: English
- Subjects: Computer science, Teaching and learning
- Source: [TED](https://www.ted.com/talks/matt_beane_how_do_we_learn_to_work_with_intelligent_machines)
- Licence: [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) (Non-commercial use only, and no changed versions.)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, we're handling AI in a way that blocks that path -- and sacrificing learning in our quest for productivity, says organizational ethnographer Matt Beane. What can be done? Beane shares a vision that flips the current story into one of distributed, machine-enhanced mentorship that takes full advantage of AI's amazing capabilities while enhancing our skills at the same time.

## Lectures

1. [How do we learn to work with intelligent machines?](https://invisiblenetwork.ai/learn/ted/matt_beane_how_do_we_learn_to_work_with_intelligent_machines/6a2a38fa7ccb), 10 min (TED's player)