AI Tools for the Researcher: Streamlining the Scholarly Communications Process
Erin C. Landis · Editorial Office News · 2023
When I hear the phrase "artificial intelligence" (AI), immediately my mind goes to robots and self-driving cars and rovers used for space exploration.In other words, I associate AI with complicated tasks that impact only a few of us.But the reality is that AI is everywhere around us, in ways that we might not even realize.We use digital assistants like Siri and Alexa to help us answer questions, make purchases for us, even to make us laugh (my daughters taught me that Alexa tells jokes).And who hasn't used Waze or Google Maps to get from point A to B? Or how about the social media we engage in daily and the content we are served on those platforms?Even autocorrect on our phones and in our word-processing documents are examples of AI.Thanks to the advancement of data collection and analysis, ever-faster computer processing, and the expansion of connected devices, nearly every industry has been impacted by AI in the past several years.For example, there has been the growth of autonomous cars in transportation, the use of robots working alongside humans in manufacturing, the advancement of diagnosing disease through machine-read imaging, and the automation of reporting and processes in finance (1).The scientific research enterprise is no different.