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How can HR in Australia benefit from ChatGPT?

• By Alyssa Navarro
How can HR in Australia benefit from ChatGPT?

The sudden rise of ChatGPT has alarmed professionals, particularly those in the HR industry, because of the chatbot’s ability to provide clear-cut and naturalistic answers with detailed information. The fear is: will ChatGPT replace our jobs?

But instead of looking at ChatGPT as competition or a threat, this artificial intelligence language model can be used to support HR professionals. This chatbot can be trained with new information. Companies can train it on data specific to their needs, including resume screening, successful job applications, and current job postings.

What is ChatGPT and how does it work?

Developed by startup OpenAI, ChatGPT is a variant of the GPT or Generative Pre-trained Transformer model, which is trained on massive amounts of data and can generate human-like answers to questions. It’s like a robot that’s been trained to converse with humans by understanding and generating text.

Companies commonly use chatbots to answer frequently asked questions (FAQs), but ChatGPT is much more than that. ChatGPT is an artificial intelligence language model that uses data to build sentences, utilising its experience to predict what sentence should come next to generate human-like text.

Unlike Alexa or Siri, it doesn’t search the internet for answers. It uses deep learning called “transformative architecture.” ChatGPT is trained on a huge chunk of text data and it understands the patterns between words, phrases, and sentences.

Read more | OpenAI releases new version of viral chatbot ChatGPT

OpenAI on Tuesday unveiled an updated version of ChatGPT called GPT-4. This new and more powerful version is much “more creative and collaborative,” and is capable of analysing images and huge chunks of text, the company said.

How HR in Australia can benefit from ChatGPT

Limitations of using ChatGPT in HR

ChatGPT can provide efficient, cost-effective, and personalised support to HR staff, while offering valuable insights and analytics. But it also needs to be monitored to look out for bias, data privacy issues, and technical issues.