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AI has a dangerous bias problem -- here's how to manage it
Thomas covers AI in all its iterations. Writer at Neural by TNW -- Thomas covers AI in all its iterations. Proponents of the approach argue that it can eliminate human prejudices, but critics warn that algorithms can amplify our biases -- without even revealing how they reached the decision. This can result in AI systems leading to Black people being wrongfully arrested, or child services unfairly targeting poor families. The victims are frequently from groups that are already marginalized.
How rewards teach reinforcement learning agents to behave
Thomas covers AI in all its iterations. Writer at Neural by TNW -- Thomas covers AI in all its iterations. In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: reinforcement learning. They titled their paper on the subject: "Reward is Enough."
Algorithms can't replace Lewis Hamilton, even if they're faster drivers
Thomas covers AI in all its iterations. Writer at Neural by TNW -- Thomas covers AI in all its iterations. While Lewis Hamilton and Max Verstappen were racing for the Formula 1 title over the weekend, self-driving cars were fighting for the inaugural Indy Autonomous Challenge (IAC) championship. The Technical University of Munich (TUM) took the chequered flag at the iconic Indianapolis Motor Speedway. The contest was an impressive showcase of self-driving engineering, but it didn't convince me that AI will soon replace human race car drivers.
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