A-Players - Hire & build high-performing teams.

A-Players #52: How ChatGPT and generative AI will disrupt recruitment, Hung Lee.

Wed Mar 08 2023

Recruiting Brain Food and Generative AI

00:03 - 11:52

Recruiting Brain Food is a global community of recruiters and HR people that connects all the different parts of the industry together.
Generative AI, TragedPT, GPT3 have had a huge impact on recruiting and are being used by recruiters to great effect.
As days go by, advocates for Generative AI become more vocal while luddites become less so.
There are risks associated with using Generative AI that need to be considered.
Avatar AI was one of the first Generative AIs used by Hung Lee before TragedyPT became popular.
Hung Lee experimented with Avatar AI to create a timeless profile picture for himself and found it to be very effective.
The fidelity of results produced by Generative AIs like TragedyPT is amazing and has led to some magical moments in technology.
The development of generative AI has been rapidly progressing, with technologies like GPT-3 and GitHub compiler paving the way.
Chat GPT is one of the most impactful generative AI technologies, allowing for fast and high-quality text generation.
Recruitment is a field that heavily relies on email communication, making text generation particularly valuable in this industry.
Chat GPT can be used to write job descriptions, outreach messaging, diversity statements, and other text artifacts at a much faster rate than humans.
Generative AI technology has achieved the miracle of high quality, high speed output at zero cost.
The Brainfood Live event showcased various vendors demonstrating how generative AI can reduce text production costs in different areas of recruiting.
While generative AI can improve efficiency and productivity in recruitment, there is a risk of producing generic or spam-like messages that could harm candidate engagement.
The quality of email outreach is predicted to improve due to machine-generated messaging but may lead to an overwhelming amount of spam.

AI-generated Email Outreach and Engagement Crisis

11:24 - 17:11

AI-generated email outreach will improve the quality of spam objectively.
However, candidates will begin to doubt whether the message is generated by AI or a human being, leading to disengagement and an engagement crisis.
Video is going to be more difficult to deep fake, but it will be more expensive to produce.
The free era of sending emails is coming to an end as paywalls become more common.
More paywalls for emails may increase trust levels since people know that the sender has paid money to message them.
An alternative approach could be nurturing people over time instead of trying to automate and send more messages.
All companies will look to increase their audience and cultivate an audience.

Recruiters and Generative AI

16:44 - 27:53

Everyone needs to be a media company and cultivate an audience, including recruiters.
Recruiters should build a following in the target community they typically recruit for.
Generative AI won't replace recruiters, but recruiters that know how to use it will replace those who don't.
Having skills in generative AI will increase personal productivity and capability of delivering value to employers or clients.
CEOs should review projected headcount with providers of chat GBT or generative AI to assess potential workforce productivity gains.
Highly skilled individuals can become recruitment marketing functions using multiple generative technologies.
Generatively generated falsehoods are a risk due to training on false data and making inferences on true data that may still come out with falsehoods.
Chat GPT may give one authoritative answer that sounds plausible, leading humans to trust it more than traditional search.
Generative AI can provide authoritative answers that sound plausible, but may not be true.
Human beings tend to believe confidence over content, making them susceptible to the confident delivery of AI-generated information.
Access to dangerous knowledge may become easier with generative AI, which could lead to negative consequences.
Copyright issues arise when training data is used without consent or compensation from the contributors.
Plagiarism is a concern with generative AI as it becomes easier to copy and republish content as one's own.
Detection software and watermarking may not be enough to prevent plagiarism in generative AI.

Live Streaming and Trust

27:37 - 34:32

The idea of something being copied is going to be default.
Live content that humans produce will be the default way we trust information.
Written data and recorded video data cannot be trusted.
In Asia, live commerce is more popular because it's harder to fake.
M-commerce (live streaming product demos) will become more prevalent in retail.
Live streaming can also be used for recruiting and employer branding.
Remote work makes live streaming a challenge, but in-office folks have an advantage.
Setting up a live stream in the office can improve employer branding.
In-office folks have an advantage in setting up a live stream.
Setting up a robo dog with a webcam could be entertaining but has confidentiality risks.
Live streaming will be difficult to replicate remotely due to practical barriers.

Resources and Skills

31:31 - 34:32

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