AI and content creation
“The conversation is the relationship”, according to Management Consultant Andrew Burgess, who provides strategic insight around AI. In an interview recorded at ConTech 2018, held at the end of November in London, UK, Burgess talks with SciencePOD about the potential of AI in the content creation sector.
Should professionals in science publishing involved in creating content be concerned about their jobs as AI solutions become more prevalent?
“It will impact jobs but,[…] it’s going to be slower than people think. The things AI can do today is exciting and valuable, but there are limitations.” These limitations prevent AI from replacing people, entirely.
Rather they could augment people’s capabilities. Burgess continues: “AI’s very good at providing additional information to people, extracting value from data that humans wouldn’t necessarily be able to do, to help them make better decisions around their business… These are giving people additional capabilities that they wouldn’t have had before.”
What type of applications could help professionals involved in content creation augment their capabilities?
For instance, “in translation services, we’ve gone from a very structured approach to AI within the natural language to actually use machine learning, whereas the name suggests, it’s the machines that are learning how to do the translation based on the data that you’re giving them, ” Burgess notes. “And that gives you so much wider capabilities than you’ve ever had before… That’s where the real acceleration will be with the development of AI over the next 5-10 years.”
There are still concerns that AI may become harmful to humans? Where is the threat?
“I think the biggest risk is the people that are building and using the AI itself, all of this is just a tool that we use. As long as we plan right and don’t have a bias in the data, we don’t have opacity in the decisions the AI is making… (these) are really important things. That’s really up to humans to control.”
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