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I love both of these examples, because I love the idea that we can take our own democratic action to make the world a bit less complicated. Alas, it is not that simple.
For our getting-dressed example, a machine learning algorithm would be the equivalent of your remembering past decisions about what to wear, knowing how comfortable you feel wearing each item, ...
To explain the need for the right data, Ben used the example of buying a milkshake. ... “We spend probably 15% of our time building algorithms that make generalisations.
Any SEO or webmaster who has ever had a website affected by a Google algorithm change – or feared being affected by one – has probably wished that they could find a way to make their website ...
For example, a cohort of less than 15 students that is excluded from being subjected to the algorithm is probably either a class in a private school or studying a less popular subject.
Increasingly, businesses rely on algorithms that use data provided by users to make decisions that affect people. For example, Amazon, Google, and Facebook use algorithms to tailor what users see ...
Functional misalignment can also lead to greater spread of misinformation. A recent study suggests that people who are spreading political misinformation leverage moral and emotional information — for ...