Insights · January 12th, 2023
The most popular article on Futurist.com in the past 12 months was The Future of Humanity in 2023: Predictions, Implications, and Solutions (written by GPT-3). This is probably in part due to to the intersection of interest between 2023 trends and the rise of GPT-3 and ChatGPT. So, Nikolas Badminton is diving in again to show how ChatGPT Discusses the Risks of Large language AI Models in Journalism and we’re discussing what it misses.
ChatGPT Discusses the Risks of Large language AI Models in Journalism
Large language models, such as GPT-3, have made significant strides in the field of artificial intelligence (AI) in recent years. These models have the ability to generate human-like text, making them attractive for a wide range of applications, including journalism. However, as we look to the future of AI and journalism, it is important to consider the risks and challenges associated with these models.
One major concern is the potential for these models to be used to create fake news. With the ability to generate highly convincing text, these models could be used to create false stories that are difficult to distinguish from real news. This could have significant implications for public trust in the media, as well as the ability of citizens to make informed decisions.
Another risk is the potential for these models to be used to manipulate public opinion. By generating text that is tailored to appeal to specific audiences, these models could be used to sway public opinion on a wide range of issues. This could have serious implications for democracy, particularly in the age of social media, where such content can be easily shared and disseminated.
There is also a risk that these models could displace human journalists. With the ability to generate text quickly and at a large scale, these models could be used to produce news stories at a fraction of the cost of human journalists. This could lead to job losses for journalists and a decline in the quality of news coverage.
Moreover, these models are not immune to biases, which can be unintentionally passed on to the generated text. This could lead to the spread of misinformation, the reinforcement of stereotypes and the creation of fake narratives.
Despite these risks, there is still significant potential for large language models to be used in journalism in a positive way. For example, these models could be used to assist journalists with tasks such as fact-checking, data analysis, and research. Additionally, by helping to automate certain tasks, these models could free up journalists to focus on more in-depth and investigative reporting.
However, for these benefits to be realized, it is crucial that these models are used responsibly and with appropriate safeguards in place. This includes establishing regulations and oversight for their use, as well as developing technologies to detect fake news generated by these models. Additionally, it is important to invest in the development of bias detection and mitigation techniques, to ensure that these models are not perpetuating harmful stereotypes and biases.
As we look to the future of AI and journalism, it is clear that large language models have the potential to bring significant benefits. However, it is also important to consider the risks and challenges associated with these models. By taking a responsible and cautious approach to their development and use, we can ensure that these models are used to enhance, rather than undermine, the quality and credibility of our news.
In conclusion, the future of AI and journalism is exciting, but it is also uncertain. Large language models such as GPT-3 have the potential to revolutionize the way we produce and consume news, but the risks and challenges associated with their use must be carefully considered. It is crucial that we take a responsible and cautious approach to their development and use, to ensure that the benefits of this technology are realized and the risks are mitigated. The future of journalism is dependent on it.
Warning (and caveat) – this entire piece was ‘written’ by GPT-3. If you feel there are issues re: copyright then do reach out and we’ll resolve. Also, it’s worth a serious conversation with the powers that be at OpenAI at the same time.
What did ChatGPT miss?
It’s not so much what it missed but how uncreative it is.
References are collated with no real unique thinking about wider thinking of the changing newsroom and workforce, or what kinds of content will emerge, or how it changes the craft of journalism as a whole. This comes down to the way we define the prompts and going forward, even with expert prompt authoring, you are building in restriction and bis. We must be aware of that.
Welcome to the future?
Nikolas can provide an in-depth keynote into Generative Artificial Intelligence and the platforms that are changing the world – DeepMind’s Alpha Code (GoogleLab), OpenAI’s ChatGPT, GPT-3.5, DALL-E, MidJourney, Jasper and Stable Diffusion – click here to read more.
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Nikolas Badminton is the Chief Futurist at futurist.com. He’s a world-renowned futurist speaker, consultant, author media producer, and executive advisor that has spoken to, and worked with, over 300 of the world’s most impactful organizations and governments. He helps shape the visions that shape impactful organizations, trillion-dollar companies, progressive governments, and 200+ billion dollar investment funds.
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