Launched for the first time in its history, LinkedIn introduced a robot powered by artificial intelligence, described as a coach for job seekers. It also unveiled new artificial intelligence tools for premium members. This launch coincides with LinkedIn’s announcement of surpassing a billion members.
For several months, Microsoft’s platform has focused on smart tools, such as automated recruitment messages, job descriptions, and profile writing suggestions.
The intelligent chatbot aims to assist users in determining the viability of applying for a job, based on a large linguistic model known as GPT-4 by OpenAI. The platform has been rolled out to some users who have a “Premium” account. Microsoft has invested billions of dollars in OpenAI.
The engineering team at LinkedIn leveraged massive resources to reduce access time, building the platform themselves to overcome this issue and speed up the experience.
LinkedIn seeks to accelerate revenue growth after a continuous slowdown of three-quarters, announcing the layoffs of 700 employees two weeks ago, most of whom work in the engineering unit.
Users can activate the chatbot by posting a job ad and selecting a few questions that prompt the tool to analyze the user’s account and experience on the LinkedIn platform.
The platform poses questions like “Am I suitable for this job?” and “How can I improve myself for this job?” The chatbot provides answers such as “Your account indicates you have extensive experience in marketing and event planning, which is relevant to the position.”
Additionally, potential weaknesses in the user’s experience are highlighted, which might negatively impact their progress in the recruitment process.
Users can also follow up by asking about the identities of employees at the company, prompting the chatbot to send some information about the employees with whom the user can communicate to discuss the opportunity. The same message can also be crafted using generative artificial intelligence.
In the past, many applications of artificial intelligence in recruitment or job requests have faced criticism for bias against marginalized communities. A study conducted by Harvard Business Review shed light on bias against black candidates in job board recommendations analysis.
The platform has emphasized that it has made significant efforts and resources to ensure that bias remains confined within protective barriers, thus meeting responsible standards in artificial intelligence.
