In the latest episode of The Work Wives podcast, we discuss our experiences with Chat GPT and whether we love it or hate it.
Hold up… what is ChatGPT?
ChatGPT is an advanced artificial intelligence language model developed by OpenAI. It uses a large amount of text data to generate human-like responses to written prompts. In simple terms, ChatGPT is a computer program that can understand and generate human-like text conversations.
So, for instance, you can type any question into the test box and ChatGPT will answer you – wanting a meal for dinner with a very specific ingredient list? If it existed on the internet before 2021, ChatGPT will produce it for you within a matter of seconds. Need references for that assignment on Artificial Intelligence? ChatGPT has precisely what you need and will produce it for you instantaneously. Need to write a killer resume? ChatGPT’s got ya back – not only will it write it for you, it will spin in whichever way you want.
But wait… what’s the problem?
Sounds all hunky-dory, right? Well, researchers of Artificial Intelligence have raised several concerns and issues related to AI and specifically regarding models like ChatGPT. Some of these concerns include:
- Ethical implications: There are concerns about the ethical use of AI, including potential biases in the training data that can perpetuate unfairness or discrimination. Researchers are working to address these issues and promote responsible AI development and deployment.
- Lack of common sense and contextual understanding: AI models like ChatGPT may struggle with common sense reasoning and understanding context. They often generate plausible-sounding but incorrect or nonsensical responses, which can lead to misinformation or confusion.
- Safety and reliability: Ensuring the safety and reliability of AI systems is crucial. Researchers are working on methods to minimize the occurrence of harmful or misleading outputs, as well as developing mechanisms for robust error handling and preventing unintended consequences.
- Limited ability to explain decisions: AI models, including ChatGPT, often operate as “black boxes” without providing clear explanations for their outputs. Researchers are exploring methods for interpretability and explainability to enhance transparency and accountability in AI systems.
- Dataset biases and generalization: The training data used to train AI models can introduce biases, leading to skewed or unfair outcomes. Researchers are actively investigating methods to mitigate biases and improve the generalization capabilities of AI models.
- Environmental impact: Large-scale AI models like ChatGPT require significant computational resources, which can contribute to increased energy consumption and carbon emissions. Researchers are exploring ways to develop more energy-efficient models and sustainable practices in AI research.
Addressing these issues requires ongoing research, collaboration, and responsible practices to ensure that AI systems, including models like ChatGPT, are developed and used in a manner that benefits society while minimizing risks and potential drawbacks.
And how do we feel about this?
Well, we have several very strong thoughts and opinions about this, which we share with each other and with you in the latest episode of The Work Wives Podcast. Have a listen now and let us know what you think! Do you love ChatGPT? Do you hate it? Did you even know what it was before now?? Jump on our Instagram and join the chat we’re having about this very thing, because we think it’s an important chat to have.
Now… I’m off to ask ChatGPT what’s for dinner.