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Can a machine read my mind?

Could machines read our minds? With tech giants like Facebook and Elon Musk’s Neuralink investing in neural interfaces, is it only a matter of time before thoughts are ‘readable’?

For decades science fiction has been imagining the incredible ways that machines might interact directly with our minds, from enabling telepathic communication to controlling robotic suits, solely using the power of thought. Getting computers to interface directly with the human brain has proven extremely challenging, but rapidly advancing computer technology is changing the landscape. CrowdScience listener Daniel wonders if we might finally be on the cusp of enabling machines to meld with our minds.

To find out, presenter Alex Lathbridge goes in search of the latest efforts to connect brains to computers. He learns how researchers are combining brain scans with machine learning and gets to test whether an fMRI machine can decode his emotions. He then meets someone with a brain implant but discovers there are many hurdles to overcome before these become mainstream in clinical practice – for example, how can scientists develop implants that won’t damage the brain?

With tech companies like Facebook and Elon Musk’s Neuralink starting to invest in this sector, many experts believe it is only a matter of time before thoughts are ‘readable’. Whilst currently this technology is focussed on helping people with serious medical conditions, other potential applications for it are raising ethical considerations.

Could it be possible to read someone's mind against their will? Might this be used in warfare? Listener Daniel wonders how far this technology might go, leading Alex to ask an ethicist what mind-reading technology might do to society.

Presented by Alex Lathbridge
Produced by Melanie Brown

(Photo: Telepathic people symbols are connected, mind reading as 3D illustration. Credit; Getty Images)

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43 minutes

Last on

Mon 18 Nov 2019 18:32GMT

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  • Fri 15 Nov 2019 20:32GMT
  • Fri 15 Nov 2019 21:32GMT
  • Sun 17 Nov 2019 00:32GMT
  • Mon 18 Nov 2019 05:32GMT
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  • Mon 18 Nov 2019 18:32GMT

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