Has the arrival of AI (Artificial Intelligence) made content writing easier?
The team from Tailwind have compiled these notes from Google on how to use Artificial Intelligence content, and what you need to avoid in your process.
The bottom line is that while it is possible to use Artificial Intelligence-generated material, you need to be careful, and you need to be double-checking the outputs in line with your own expertise.
Infographic on Do’s and Don’ts of AI generated content –
Artificial intelligence is intelligence—perceiving, synthesising, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs.
AI research has tried and discarded many different approaches since its founding, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge and imitating animal behavior. In the first decades of the 21st century, highly mathematical-statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.
The field was founded on the assumption that human intelligence “can be so precisely described that a machine can be made to simulate it”. This raised philosophical arguments about the mind and the ethical consequences of creating artificial beings endowed with human-like intelligence; these issues have previously been explored by myth, fiction and philosophy since antiquity. Computer scientists and philosophers have since suggested that Artificial Intelligence may become an existential risk to humanity if its rational capacities are not steered towards beneficial goals.
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