10 TED Talks on AI and machine learning

10 TED Talks on AI and machine learning

How will AI reshape your career? Your health? Your ability to tell real from fake video? Recent TED talks explore some fascinating AI questions

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February 07, 2019

6. How blockchain and AI can help us decipher medicine’s big data


Speaker: Gunjan Bhardwaj

One of the problems with big data is, well, it’s big – and always getting bigger, so big that humans alone can’t really wrangle it. That’s a particularly urgent issue in contexts like healthcare, where data can be life-saving (or life-threatening if improperly applied). “Complexity specialist” Gunjan Bhardwaj examines how the combination of blockchain and AI can help humans make sense of mountains of medical information, and wisely act on it when necessary.

7. How to get empowered, not overpowered, by AI 


Speaker: Max Tegmark

Life 3.0: Being Human in the Age of Artificial Intelligence author Max Tegmark takes a rosier view of the significant and inevitable changes AI will bring – provided, he says, humans don’t get complacent and simply react to these changes, rather than proactively shape them. “I’m optimistic that we can create a really inspiring high-tech future … if – and this is a big if – if we win the wisdom race – the race between the growing power of our technology and the growing wisdom with which we manage it,” Tegmark says. “But this is going to require a change of strategy because our old strategy has been learning from mistakes.”

8. Fake videos of real people – and how to spot them 


Speaker: Supasorn Suwajanakorn

Computer scientist Supasorn Suwajanakorn reveals the incredible abilities of AI and 3D modeling to create incredibly realistic videos (and even interactive holograms) from scratch of real people speaking – even though they’re not. It’s a powerful example of an AI innovation that is both potentially beneficial (Suwajanakorn’s project began as a way of recording and preserving the personal accounts of Holocaust survivors) and harmful if used unethically. It also speaks to the increasingly fundamental need for digital literacy skills so that humans can tell the difference between real and machine-made.

9. 3 myths about the future of work (and why they’re not true) 


Speaker: Daniel Susskind

Daniel Susskind opens his talk with the spread of “automation anxiety,” namely, that pretty much anyone with a job might someday lose that job to an AI replacement. There are very real concerns about the future of work in the AI age – that is an evident theme in some of these recent TED Talks – but the anxiety that attends these concerns also leads to myths that aren’t helping us prepare for the future; Susskind examines (and dispels) three of them here.

10. “AI therapy” 


Speaker: Mother London

“Kids” these days: We close with a fun short from the creative firm Mother London, which imagines a lighter side of our AI future: What will happen if future generations of AI bots become a little too coddled – and too human – for their own good? (If you’ve ever grumbled about younger generations in the workforce, this one’s for you.)


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