Recruiter's AI Digest #38
Resources and perspectives to keep you ahead of the curve as AI deepens its impact in Recruiting. 🤖
Welcome to the community of 2,500 forward-thinking recruiting leaders. 🎉 We stay on the pulse of AI and its impact on recruiting, so you don’t have to!
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This week’s digest
Before we jump into this week’s digest, I need to address the elephant in the room. There was no digest last week. Last Friday, when I was supposed to be clicking send on the digest I was instead exploring the west coast of Ireland.
I wrote the digest, and swear I had schedule sent it to go out, but none of us are immune to technical faux pas…
Now that I’ve proclaimed my innocence can people please stop sending me hate mail? 🙏 Jokes aside, check out the awesome material this week:
🎥 Videos:
[1hr Talk] Intro to Large Language Models
(Andrej Karpathy)
📖 Articles:
The TA’s Ultimate Guide to GenAI
(Arctic Shores)The labor market and ai: something to fear or to embrace?
(Randstad)Job roles, responsibilities and relationships in an AI department of a big tech company, according to AI
(Hung Lee)Talent Management in the Age of AI
(Harvard Business Review, Ryan Roslansky)
🎥 Events / Tools:
Candidate Review: AI-powered hiring decisions
(Metaview)AI & The Future of Work
(AI4Talent)
Are there people you know struggling to digest all the AI news? Share this newsletter with them. 🙏
[1hr Talk] Intro to Large Language Models
(Andrej Karpathy)
In this enlightening talk on "Intro to Large Language Models", Andrej Karpathy (Former Director of AI at Tesla, OpenAI) explores the intricacies of LLMs. Covering key aspects from the basics of what these models are, to their advanced applications and future potential, this talk is a must-watch.
🔍 Quick Highlights of the Talk:
Defining Large Language Models: Introduction to what LLMs are, with a focus on the Llama 270b model by Meta AI.
Operational Mechanics: Insight into how these models process vast amounts of data and predict language patterns.
Fine-Tuning and Performance: Discussion on the fine-tuning process that enhances model accuracy and response quality.
Scaling and Evolving Capabilities: How larger models tend to perform better and the continuous evolution of LLMs.
Future Directions and Ethical Considerations: Looking ahead at the advancements in LLMs and the importance of maintaining ethical standards in AI development.
This talk is highly recommended for anyone keen on understanding the building blocks of AI and the fascinating world of language models.
The TA’s Ultimate Guide to GenAI
(Arctic Shores)
Arctic Shores has put together a very comprehensive guide to AI for TA. Whether you're a GenAI pro or just starting out, this guide is packed with insights to help you harness the power of AI in recruitment. 🤖✨
Where do we stand with GenAI today?
The basics: what is Generative AI, what is ChatGPT, and why should Talent Acquisition teams care?
How to use Generative AI in recruitment
Three risks of using Generative AI
Some insights from the report:
Revolutionize Job Ads and Candidate Communication: Use ChatGPT to craft compelling job advertisements and personalize rejection emails. For instance, feed it key job requirements, and it’ll generate an ad that's both engaging and specific to the role. Similarly, input candidate feedback points, and ChatGPT will produce thoughtful, individualized rejection emails. This not only saves time but also enhances your employer brand. 📝✉️
📊 Harness AI for Efficient Candidate Analysis: Leverage AI tools like ChatGPT for analyzing candidate profiles and work histories. This can significantly speed up the process of candidate comparison and ranking. For instance, use AI to scan LinkedIn profiles, then ask it to summarize key achievements and skills of applicants, allowing for a quicker and more informed candidate evaluation. 🕵️♂️💡
🌐 Stay Updated and Adapt to AI Trends: Keep your TA strategy agile by staying informed about the latest developments in Generative AI. Subscribe to newsletters like TA Disruptors, attend webinars, and participate in industry forums to understand how other organizations are successfully integrating AI into their processes. This proactive learning approach will ensure you're always leveraging the most effective and ethical AI practices. 🔗
Read the full report here.
The labor market and AI: something to fear or to embrace?
(Randstad)
Randstad just released their position paper on AI's impact on the labor market and recruitment. Here are the key takeaways:
✅ AI can make recruiting more efficient - AI tools can help write job descriptions, evaluate candidates faster, and improve communications
❌ But ethical risks exist - AI may perpetuate societal biases and lack transparency
🤝 Combining tech and human oversight is key - Randstad believes in "tech & touch" to get the best outcomes
📈 Employees are receptive to AI - Contrary to assumptions, research shows workers are excited about AI enhancing their careers
🔎 Regulations on AI use are coming - 71% of people want oversight on AI; rules are being developed
👩💻 Randstad's approach - Their AI principles stress transparency, fairness, accountability, and keeping humans in control
🤔 Key debate ahead - How to balance innovation of AI with responsible and ethical deployment
Access the report here.
Job roles, responsibilities and relationships in an AI department of a big tech company, according to AI
(Hung Lee)
I came across this post from Hung Lee, where he asks ChatGPT to map out the key roles and responsibilities of an AI department for a big tech company. The comments on the post seem to indicate that people think this is a fairly accurate reflection of what they have personally hired for.
You may need to get used to hiring for these positions in the future, so always worth keeping an eye on how teams are changing!
TA teams will also have a strategic part to play in mapping out team needs and what skills / experience is required to build out those teams.
Here is the post link.
Talent Management in the Age of AI
(Harvard Business Review, Ryan Roslansky)
LinkedIn CEO Ryan Roslansky shares his thoughts on Talent Management in the Age of AI:
🚏 The old talent playbooks are useless. Roslansky says embracing AI is non-negotiable if you want to stay competitive.
💼 He advises scrapping rigid job titles to see roles as fluid collections of tasks and skills instead. This then lets you shift people around based on business needs.
📚 Reskilling also can't be a one-off thing. Continuous learning has to be embedded in your culture so people can keep up with machines.
AI can make jobs more human by automating repetitive work. He gives the example of AI helping LinkedIn's customer service team focus more on complex emotional problems vs basic Q&A.
Read the article here.
Candidate Review: AI-powered hiring decisions
(Metaview)
Our team at Metaview have been busy shipping AI powered features to empower recruiters to make better hiring decisions, faster. 🚢🚢
One of our biggest launches yet is Candidate Review. It’s a one-stop shop for all info. on a candidate. Get a snapshot view of all the conversations you’ve had with a candidate, ask questions about these conversations and never doubt a hiring decision again!
Check out this demo to see the magic in action ⬇️
Check out our website to try it for free.
AI4Talent
Looks to be an exciting event in the mix for early 2024.
Guests on the lineup include the likes of:
Kevin Wheeler, Rob McIntosh, Jim Stroud, Toby Culshaw, Mike Wolford, Anita Lettink + more!
Join the waitlist here: https://ai4talent.com/event/