Anyone can count the seeds in an apple, but none will know the number of apples in the seed.
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 that way too. By exploring human and machine reasoning, we can begin to appreciate the diversity of through in our society, and plan for what machines will bring to the discussion.
New Trends, Same Humans brings together academic and cultural refelction on cognitive processes and the way that machines intelligence works. Embrace the critical thinking human in you!
When you’re building a model of how things work, not all evidence should be treated equally.
CONTENT THIS QUARTER
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A message from Rev Bayes
What if human knowledge does actually count for something? That that was the radical assumption introduced by the Reverend Bayes, full time clergy, part-time founder of machine learning.
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Taking stock with stochastic approaches
It makes sense to take measurements of where you are or where you seem to be. But if your stochastic approach to measuring isn’t working, it’s time to adjust your weightings.
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Motivated reasoning
Motivated reasoning is the error of believing that we are capable of making sound and objective decisions on topics where we have an interest in the outcome or results. Motivated reasoning can be one of the hardest errors in thinking to overcome.
