#61 – Helen Toner on the new 30-person research group in DC investigating how emerging technologies could affect national security

From 1870 to 1950, the introduction of electricity transformed life in the US and UK, as people gained access to lighting, radio and a wide range of household appliances for the first time. Electricity turned out to be a general purpose technology that could help with almost everything people did.
Some think machine learning could alter 21st century life in a similar way.
In addition to massively changing everyday life, past general purpose technologies have also changed the nature of war. For example, when electricity was introduced to the battlefield, commanders gained the ability to quickly communicate with units far away in the field.
How might international security be altered if the impact of machine learning is similar in scope to that of electricity? Today’s guest — Helen Toner — recently helped found the Center for Security and Emerging Technology at Georgetown University to help policymakers prepare for any such disruptive technical changes that might threaten international peace.
Their first focus is machine learning (ML), a technology which allows computers to recognise patterns, learn from them, and develop ‘intuitions’ that inform their judgement about future cases. This is something humans do constantly, whether we’re playing tennis, reading someone’s face, diagnosing a patient, or figuring out which business ideas are likely to succeed.
Sometimes these ML algorithms can seem uncannily insightful, and they’re only getting better over time. Ultimately a wide range of different ML algorithms could end up helping us with all kinds of decisions, just as electricity wakes us up, makes us coffee, and brushes our teeth — all in the first five minutes of our day.
















