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ChatGPT: How will generative AI systems impact the future of work?

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It is impossible to escape from it. If you’ve been reading the news or hitting social media in recent weeks, you’ve probably heard of ChatGPT. It attracted more than a million users in less than a week when it launched in late November. ChatGPT is more than just a chat agent, it is a generative AI system capable of producing content from instructions given by the user. The tool has the ability to write essays, academic articles, movie scripts, or even generate lines of code. its limits? imagination of its user.

But how does ChatGPT work? The AI ​​explains it itself when asked: “I am a computer program designed to answer questions and solve problems using previously learned knowledge and natural language processing techniques. My process is based on knowledge transfer training from OpenAI Generative AI systems are actually artificial intelligence technologies, which make it possible to create content, such as text, sound, image or symbol, using predictive models analyzed on huge amounts of data. They can be used to automate certain tasks and create new business opportunities, But it can also have an impact on hiring and the distribution of tasks within companies.

Useful technology in business?

Generative AI systems can prove valuable in the development of certain functions, where you need to generate textual and visual content regularly. So it’s relatively easy to imagine these use cases for journalism, communication, or marketing related jobs. However, its use could extend to the rest of the company. If we focus on its effects on the human resource function, many uses emerge. During the recruitment process, ChatGPT can analyze applications and resumes during the pre-selection process from a given template. The tool also has the ability to transform itself into a chatbot that answers candidates’ questions outside of interviews. ChatGPT can also generate content for frequently asked interview questions.

While many of the uses are already mentioned in the business, these tools raise serious concerns and controversy. Because can we really talk about a tool that replaces human labor, as some predict? according to Sam Altman, CEO of OpenAI, ChatGPT is still incredibly limited, but competent enough for certain tasks – which can create a deceptive impression of greatness. It is wrong to rely on it entirely. Here is a quick overview of the progress. Admittedly, ChatGPT is amazing. But currently there are limits to the model, particularly in terms of content credibility. The GPT-3 model, on which this AI is based, draws information from multiple sources to generate the final answer. However, it does not track the sources, which limits the reliability of the answer obtained. ChatGPT will hardly become a “Google Killer”.

The future of work with generative AI systems

Predicting the impact of generative AI systems on the future of work is complex. But they potentially play an important role in many areas – including content creation, translation, product design, research and development, and even decision making. They can also be used to automate some routine and repetitive tasks, which can lead to a reduction in the workforce in certain sectors.

Generative AI systems have the potential to lead to advancement in skill areas needed in many professions, in part to compensate for their limitations. Since the current forms do not refer to their sources, it is necessary to verify the information provided to ensure its accuracy. Then there remains the work of editing the content to modify the submitted text and writing style.

They will be on the initiative of creating new jobs, freeing themselves from the purely financial cost. For example, they can be used to generate new ideas for products or services, or to help create high-quality content at scale. One can also imagine creating a “Instant engineers»who will be responsible for creating texts or images to get an accurate result. This market segment for content creation via various generative AI systems already exists in the database market.

An invisible form of work about artificial intelligence

AI is only the result of human labor throughout its life cycles – with ‘click workers’ creating content to feed the AI ​​and in the final stages with ‘digital workers’. This last concept, emphasized by Antonio Caselli, refers to the activities of Internet users that generate value for digital companies, without compensation. Internet users who rely on ChatGPT generate value by training it and providing it with data. This is a form of work that helps improve the performance of an unpaid AI. While some workers will benefit from technical advances in the long term, it will also be necessary, in the future, to consider the effects on “invisible workers” to compensate for the value they bring.

However, I remain convinced that the use of generative AI should be better structured and regulated; and that it is necessary to include ethical standards to avoid the risk of discrimination and bias in the algorithms. It will also be necessary to ensure the tangible effects resulting from the integration of generative AI systems, adequately trained and prepared for the new opportunities and challenges that will arise.

Article written in collaboration with Marie-Victoire Gallier

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