Ever since ChatGPT burst onto the scene in late 2022, it’s heightened awareness about generative artificial intelligence and raised questions about what is yet to come and what it will mean for our jobs.

Billions of dollars are being invested in artificial intelligence. There’s both curiosity and caution about what’s to come. 

Fifty-two percent (52%) of Americans say they are more concerned than excited about the use of artificial intelligence in their daily lives, which is a double digit increase from 2021, according to findings from the Pew Research Center. 

At the same time, LinkedIn’s global Workplace Learning Report finds that 4 out of 5 people want to learn more about how to use AI in their profession.

With so much uncertainty and interest around how AI will change the way we work, Allen Blue, LinkedIn vice president of Product Management and co-founder and a member of the WorkingNation Advisory Board, has brought together leading experts in the field to examine AI’s impact on the workforce:

• Rebecca Finlay, CEO, Partnership on AI
• Andrew McAfee, co-founder, Initiative on the Digital Economy and Scientist, MIT
• Wenjing Zhang, senior director, Engineering and Data, LinkedIn
• Allen Blue, VP, Product Management & co-founder, LinkedIn (moderator)

WorkingNation has partnered with LinkedIn to share this important conversation.

The panelists encourage employers and employees to embrace the technology and start using it now and they dive deeply into how employers can us AI technology to create a good work environment in which employees can do their best work, specifically how it can help free up time to be more creative and strategic.

But, they ask, should it only be used to drive efficiencies and productivity and what are the ethical ramifications for workers and job seekers if they do?

We at WorkingNation and LinkedIn believe you’ll find the conversation important, informative, and fascinating and invite you to watch it now.

Watch How AI and Large Language Models Reshape the Future of Work here.

Before You Watch, Learn More About Large Language Models

Much of the talk around AI these past 18 months have focused on ChatGPT and other similar platforms such as Google’s BERT and Meta’s Llama which all use Large Language Models, or LLMs.

Investopedia describes LLMs as a “deep-learning algorithm that’s equipped to summarize, translate,  predict, and generate human-sounding text to convey ideas and concepts.” 

In essence, this means that LLMs are massive data bases filed with information that a computer program then taps into to answer questions or create content as directed by a human user.

The panel dives into the idea that the information coming out is only as good as the information coming out, and it is important to verify the information in the LLM and the person doing the inputting needs to use their own critical thinking in that first step.