Fear only comes when you believe that the less you know, the better.
New Trends,
Same Humans
In an era where technology is about to take the throne, it’s time to think about the things that shape the way we perceive the world. By thinking about how we think, we can unlock the potential of human-machine teaming.
We are all unique individuals with our own biases, experiences, and perspectives. Machines can be too. By exploring human and machine reasoning, we can begin to appreciate the diversity of thought in our society, and plan for what machines will bring to the discussion.
New Trends, Same Humans brings together academic and cultural reflection on cognitive processes and the way that machine intelligence works. Embrace the critical thinking human in you!
The genius of looking at the world mathematically is that you learn to turn error into potential.
CONTENT THIS QUARTER
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What hypothesis tests teach us about flawed thinking
A hypothesis test is the foundation of how machine learning algorithms make suggestions. The founding principle behind a test is based on a simple response to new insights. ‘This looks interesting, but let’s reserve judgment for later.’
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Being confidently wrong
A confidence range allows you to be wrong, but still in more or less the right place. It’s important to understand when your understanding is just broad enough or precise enough to reach sensible conclusions.
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How do you know you know
One of the troubles with human thinking is that a person who knows useful information tends to doubt their own skills and knowledge. A person who knows nothing can be hyper confident. So how do you know when you really know?
