ChatGPT has caused handwringing, worry, and speculation on how the world of publishing will be forever changed by this artificial intelligence (AI) application. Ironically, generative AI has also opened up new career opportunities across various fields. The Scholarly Kitchen brought this interesting information to us in their article, “Guest Post: AI and Scholarly Publishing — A (Slightly) Hopeful View.

ChatGPT is not particularly innovative, and it is nothing truly revolutionary. The public perceives OpenAI‘s ChatGPT as unique, but the same techniques are being used and the same kind of work is happening in many research labs. The idea of OpenAI being alone in its type of work is inaccurate according to data scientists and professionals in the field.

The good news in all of this is the impact of these changes rests on how creative humans can be at harnessing novel technology to the greatest benefit. Publishers need to ensure they are the creative adopters leading the charge.

Now is the time for organizations to learn more about how AI systems make decisions and how to apply the results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact, and its potential biases.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.