Introduction: The AI Race (02:43)
From big rigs to law firms, automation is coming to the workplace. Frank Black and other Australian “truckies” face a growing threat to their livelihood: driverless vehicles. An explosion in artificial intelligence means robot cars will soon be commonplace on our roads.
AI Boom Explained (02:30)
Artificial intelligence is already here: it allows Siri to answer questions and Internet browsers to recommend personalized picks from Amazon. Professor Toby Walsh explains Moore’s Law and other factors that drive the AI boom. Robotics professor Mary-Anne Williams explains driverless car technology.
Robot vs. Human Drivers (04:38)
The use of self-driving cars may lead to productivity gains and greater fuel efficiency. They do not need to rest, eat or get paid, and their use may reduce accidents. However, robot cars still cannot change a tire or do other things that humans can.
Machine Learning (03:57)
Some software allows machines to learn as they go. AI learning improves exponentially, and it takes place on a global scale. Walsh thinks we are about 50 years away from the singularity, the point at which machines will autonomously improve themselves.
Robot Car Pros and Cons (05:14)
AI experts believe driverless cars will improve so much that humans will eventually be banned from driving. However, many obstacles remain, not the least of which is public acceptance. A panel of driving experts debates the viability of autonomous vehicles.
AI and Thinking Tasks (05:08)
Law student Christine Maibom competes with an AI application that does paralegal research; it can scan millions of cases in seconds, meaning she doesn’t stand a chance. Automation could potentially take over tasks performed by financial planners, teachers and other professionals.
Embracing Automation (05:24)
Economist Andrew Charlton predicts automation will affect workers across all sectors. He says Australia stands to gain $2.1 trillion over the next 15 years by embracing technology. A group of young lawyers and legal students weighs the pros and cons of artificial intelligence.
Impact on Young People (01:30)
It’s difficult to know which professions will be hit hardest first, but jobs that help young people make ends meet are clearly among the most at risk. Robots can now take orders, flip burgers, make coffee, and deliver food.
AI and Medicine (06:59)
Artificial intelligence is also moving into healthcare. Medical student Aniruddh Joshi learns about IBM research in cancer treatment using its AI supercomputer Watson. The computer takes seconds to read through patient records, doctors’ notes, and relevant articles to come up with ranked treatment recommendations.
Staggering Rate of Change (06:42)
The AI revolution is occurring exponentially faster than the Industrial Revolution. Will there be as many jobs as before? Could the rate of change create a shock to the system that makes it difficult to rebound? A group gathers to contemplate the future.
Data is King (03:46)
Data61 CEO Adrian Turner discusses the shift in big business from reliance on physical assets to data assets, calling data “the new oil.” Walsh emphasizes the need to break up Facebook, Google, and other data titans. The group ponders how AI could impact basic human interactions.
Can We Trust AI? (05:55)
James Kavanagh of Microsoft Australia explains that algorithms can be taught to interpret and perceive emotion. He recalls his company’s snake-bitten chatbot, Tay, which was taken offline after 18 hours in 2016 after it seemed to turn into a racist troll.
Credits: The AI Race (00:25)
Credits: The AI Race
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