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7: Teaching AI Ethics- Datafication

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    207246
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    “Datafication” is a term used to describe how all aspects of our lives are being turned into datapoints. Whether through the collection of our likes, shares, and ratings on social media and streaming apps, or through the harvesting of physical data from devices like smartphones and smartwatches, datafication is what powers artificial intelligence. In the words of British data scientist Clive Humby, “Data is the new oil”.

    Datafication has become a defining characteristic of our modern world, as technology advances enable the collection, storage, and analysis of vast amounts of data from nearly every aspect of our lives. While this process has led to numerous benefits such as improved efficiency of services, better decision-making, and increased personalisation of products and services, it also raises significant ethical concerns. In this post, I’ll go into the ethical implications of datafication, exploring the impact on privacy, surveillance, and potential misuse of data, as well as examining the responsibility of organisations and individuals in ensuring ethical data collection practices.


    7: Teaching AI Ethics- Datafication is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by LibreTexts.

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