Category Archives: ChatGPT

HR Meets ChatGPT

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Are you tired of the same old HR routines? HR and Talent Acquisition pros across the world are diving headfirst into the realm of ChatGPT. This AI wizard must be able to spice up their strategies, right!? Here are 5 popular prompts that HR and Talent Acquisition are throwing at ChatGPT:

  1. “ChatGPT, is this candidate a real person or a catfish?” HR isn’t meant to be Sherlock Holmes. We’re sick of desperately trying to unmask phony candidates – just tell me if they’re real or not! Expect a wild mix of advice in return, but how else will we know if this candidate is actually some weirdo scam artist living in his mom’s basement?
  2. “Craft a compelling job pitch for this job description!” When faced with the challenge of selling the unsellable—a lackluster job—we to ChatGPT for a miraculous solution. Yeah, it might be for the most boring job ever with a terrible salary, mundane tasks, and awful company culture, but make it irresistible!
  3. “Invent a mascot that represents our company culture!” Introducing “Happy Hootie”! Hootie is a wise owl wearing headphones, adorned with vibrant colors reflecting diversity and inclusivity. Their wings feature a mosaic of interconnected puzzle pieces symbolizing teamwork and collaboration. Hootie’s nest is a cozy library, showcasing our value for learning and knowledge-sharing. With a microphone in one claw and a book in the other, Hootie embodies our culture of harmony, where every voice is heard, and learning is celebrated. This mascot flaps around, spreading the message of unity, knowledge, and harmony throughout our workplace nest!
  4. “Craft a ‘thank you’ email to an applicant using only emojis!” 👋🙏📬📩🙏📝🤝🗣️🔜🌟 … oh sorry, you don’t speak emoji? Translation: Hello! Thank you for applying. We appreciate it! Let’s keep in touch! Talk to you soon. Best wishes.
  5. “ChatGPT, write a job description that makes even a pet rock excited to apply!” No really, that unsellable job description we mentioned earlier, we still need help. Please make this boring ass job description more appealing.
  6. “What do I respond to this candidate to show them that I’m interested, but not that interested, but still interested enough to show my interest?” *Inserts full email chain, with no regard to privacy and copyright laws* Response: I’m just a robot, I have no clue what you’re talking about.

ChatGPT can now see pictures and understand your voice commands!

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For those who still believe Generative AI won’t change your job, take a looksie down below!

So, the AI can now see pictures and understand what we ask it!

This means no matter what your job is. You will soon be able to speak to your technology and interact with technology as we have never done before. I’m not just talking about HR or Recruiting. I’m talking about every single function and job that is available.

From highly skilled jobs to no-skill jobs. It’s truly an amazing time to be alive.

This changes the game for learning and development, how we onboard new hires, and how we develop skills for our employees. This changes the game in how we get our everyday work completed.

You no longer need to sit down with a hiring manager and do an intake meeting for the role they want to hire for. Your hiring manager will now speak to your recruiting AI assistant and tell the AI what they would like and the AI will respond with really great questions and challenges based on data and insights that it will have immediately at your disposal. “So, you are telling me you would like X, Y, and Z, but if you couple that with the salary range, you would also like to offer, you will be asking us to pull from the bottom 4% of the available candidates in our market. Do you feel that is acceptable to have a candidate from the bottom 4%?! Or if we change X, Y, and Z, to H, B, and Z, and also adjust the range up one level, we can now get candidates who are in the top 25% of our market. What would you like to do?”

Game. Changer.

Of course, this won’t happen immediately. It will take some time. But I actually demoed some new recruiting tech in Beta this week that has already added in the voice element for intake of job descriptions that will make fairly decent job postings!

Buckle up, kids! We are about to go on a wild ride!

Generative AI and ChatGPT RoundUp in TA Tech! (Video)

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My friends Madeline Laurano, Kyle Lagunas, and I had a big conversation about all the recent generative AI announcements happening in our industry.

We are going to hear about so many more announcements coming the rest of the year, and we’ll try to keep everyone updated as they come in.

If you haven’t had a chance to go out and test ChatGPT go do it! It’s super simple to login into Open.Ai and get an account.

Zagging when others are Zigging.

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It struck me yesterday while I was on my 7th call of the week, where everyone wanted to talk about ChatGPT and Generative AI, that there is an opportunity here. And not the opportunity that everyone VC is running around like zombies trying to invest in any stupid idea that has “Chat” or
“GPT” in the title.

“Human connection is the luxury of the future.” – Tim Sackett, 2023

I’m sure this isn’t a new idea. I don’t know when or where, but I know I’ve heard others say similar things to this in the past. It just seemed to hit me today. This is even more true in our world at this moment.

I love tech. I love generative AI tech, like GPT. I’m a nerd for this stuff, playing around with it every day. More millionaires will be created in the next 18 months from GPT/Generative AI than at any other time in history because this tech will be so transformative to everything we do. I believe that.

I also believe this tech will do some harm. It will hurt some experiences. Those experiences will be faster and more efficient, but also, at the exact same time, feel less.

So, the “Zag” opportunity is first to understand those opportunities. Who will want or need human interaction or connection vs. AI/Robot connection? What will be the value of the human connection vs. that of the robots? I think in my world of HR and TA tech. There are a lot of these human opportunities. For some brands, not delivering a full AI experience and adding humans into the loop will be a competitive advantage.

I’m a Delta Diamond (humble road warrior brag), which only means I fly on Delta way more than the average person. Because of my flyer status, I get a special number to call when stuff goes wrong in my travel. Whenever I’ve reached that number, someone has picked up or called me back in minutes. My sons are like Delta Silvers, the lowest flyer status. I hear the stories of them waiting hours to hear from Delta when they need assistance.

Some might call that privilege and believe everyone should have that same level of access. Those people are wrong. I’m a top customer of Delta. I go out of my way to fly Delta because of my status. It’s super rare that I’ll fly another airline. Most fliers seek the cheapest ticket, and the service should match that desire. I’m loyal. My service should be elevated to reward my loyalty to the brain. My experience matters more than someone who isn’t loyal to the brand. Delta makes more money exponentially from me as a customer than most customers.

Many company executives will say that their employees and their future employees (their candidates) also deserve an elevated level of experience. That experience might include all kinds of efficiencies and AI allowing them to get what they need quickly. That experience also might include the hotline to a real person. A person who knows the brand well. Who understands the importance of your position as an employee or a candidate?

Even today, we live in a world where many times, it’s hard for us to speak to a real human when we actually need and want to speak to a real human. The “Zag” ensures that human connection can happen at the right exact moment when it is needed and wanted. It’s not about delivering a smart robot that can answer more questions.

I speak to executives all the time that will tell, almost to a person, that “our talent, our employees, are our most important assets.” Then they show me how they’ve jammed technology between the employee and a great experience, making it a not-so-great experience. Technology should be a conduit to a great experience. Often it’s replacing an average experience and making it a different but still average experience.

We need to keep asking ourselves what is uniquely human about our experience that we want to preserve and how AI can help us make that human connection even better. Even stronger. We have an amazing opportunity to be more human, but only if we design the world we want.

AI isn’t racist. You are.

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I’ve been on the road and super busy over the last few weeks and haven’t written anything in a minute. So, hold on tight. I have some stuff floating around in my brain that needs to get out!

It’s conference season, and I’m hitting a bunch of them. So far, one thing everyone wants to talk about is ChatGPT and Generative AI. You guys know I like to educate you on this stuff, so GPT and Generative AI are basically the same thing. GPT is the OpenAI generative AI large language model, which is basically owned by Microsoft at this point. Google has Bard as their generative AI, and while they are built to be similar, Google is currently behind Microsoft by a lot. We all expect them to catch up.

One of the biggest issues around generative AI is there are a lot of ethical issues with the use of AI. From folks being concerned with bias in AI to the elimination of jobs that humans currently do to the spread of false news and ideas that seem very real.

“Tim, AI has bias! I read an article in the New York Times! Didn’t you see the lawsuit against HireVue?” It’s one thing I hear in the HR community a lot. Most folks, who don’t really understand AI, love to believe AI is biased! It’s kind of funny when you actually explain to them the reality. Currently, no one is using Generative AI (ChatGPT) in their HR Tech stack. Many are using “Conversational AI” in their stack, which is like old-school chatbots went to college and got smarter. Conversational AI is AI with guardrails. All the responses are built purposely so you actually know anything the bot might answer. This type of AI is incapable of being racist.

So, where does the biased/racist talk come from?

Early machine learning models. Machine learning has been the big buzzword in HR tech over the last 5-7 years or so. Some of the first tech companies to build ML into their tech had some backfires. For the record, the Hirevue thing was one of these issues while testing the potential of using facial recognition as a way to determine if any facial attributes could be used as a potential attribute in helping a company select the best talent. Turned out the machine learning model actually had a really hard time deciphering dark faces over light faces. It was quickly found out and shut down and never used again. But people still pull that one example from five years ago as the only example of AI being biased.

The reality is machine learning learns human preferences. So, when you say your AI is racist, all you’re saying is you, yourself, are racist. It learned your behavior and mirrored it back to you! That’s the funny part! Think of AI as a baby. A baby that can learn a lightning-fast speed. But if you teach your baby bad things, it’s going to grow up and do bad things! Unless the folks who build the AI actually build in guardrails and audits to constantly check that the AI is learning and producing the “right” things. Which is currently the situation. If fact, to Hirevue’s credit, from their early learning, they are leading the industry in building ethical AI policies and third-party to ensure their AI is as biased-free as possible.

Here’s the reality in 2023.

I’m way less concerned with my AI being biased than I am of Jim the hiring manager making the final selection of each hire! I can actually audit and control my AI’s bias. I can not do that with Jim! Goddamn, you Jim!

I actually was on a panel recently with an AI professor from Stanford who said, regarding bias in AI, that in reality, every time you add a human into your process, you add bias. But when you add AI into your process, you eliminate bias by comparison. That made my head turn! Because we love to think the opposite. For some reason, we have a lot of pundits in our industry trying to scare people away from AI in HR. I’m not saying anyone just blindly go forward with AI in HR. Go into it with eyes wide open, but don’t go into it with fear of what AI was five years ago.

I’m fascinated by where and when we’ll see massive usage of generative AI in HR. It’s going to take some time because most HR leaders and legal teams aren’t really excited about using a tool where they have no idea what the response might be to a candidate or an employee! But, I do think we’ll continue to see massive adoption of conversational AI within our tech stacks because there is much less legal risk and, as I mentioned very little risk of bias.

Do we still have ethical issues in AI? Yes. Generative AI is very new, and there is so much we don’t know yet. The use cases are massive, and we’ll begin to see, almost immediately, tech companies testing this in certain parts of your processes to help automate tactical things. The one major ethical issue we’ll have is when we start asking models like GPT questions, and we get answers, and we don’t really know how those answers were gathered or who had an influence on those answers behind the scenes. Because if someone behind the scenes in OpenAI manipulated the AI to answer a question in a certain way over another, we now have to question every answer and who’s pulling the strings behind the curtain.

It’s exciting to think of the possibilities, but we still have a ton to learn. More to come. I’ve got this AI bug now, and I think it’s going to dominate our space for a while!