Brianna White

Staff member
Jul 30, 2019
Last year proved a formative year for technology. Businesses are becoming increasingly exposed to different forms and applications of automation – from machine learning to natural language processing (NLP) – while also now having to consider the ethical and legal implications. Conversations are happening across the enterprise, with systems now competent enough to automate some core back-office functions
One of the most exciting developments, however, has come in the form of generative artificial intelligence (AI), made famous by the likes of ChatGPT and DALL·E 2. This is a breed of AI that creates, combines and remixes content in the name of creativity. Generative AI can produce imagery, and written words as well as even mimic the human voice, sparking widespread discussions around the ethical implications and whether there’s any scope for AI replacing core creative functions in people. Much of this depends on the specific tools out there, though, as well as the quality of the product and whether people will be minded to pay attention to the potential drawbacks.
What are the origins of generative AI?
Although generative AI was made popular last year with the expanded use of the likes of MidJourney, conversations around this technology have been happening for much longer. Dutch researchers wrote about the philosophical underpinnings of generative AI as far back as 2012. Indium Software, too, released a white paper less than three years ago which highlighted not just how generative AI could be used creatively, but also in high-friction workplaces like healthcare.  
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