Recruiter's AI Digest #50
Resources and perspectives to keep you ahead of the curve as AI deepens its impact in Recruiting. 🤖
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This week’s digest
Check out the awesome material this week 📖 :
AI Filters: Find, organize, and get alerted about the recruiting conversations that matter to you
(Metaview)OpenAI is expected to release a 'materially better' GPT-5 for its chatbot mid-year
(Business Insider)Reducing bias when using AI to evaluate resumes
(Glen Cathey)The human side of generative AI: Creating a path to productivity
(McKinsey)
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AI Filters: Find, organize, and get alerted about the recruiting conversations that matter to you
(Metaview)
AI Filters’ is the latest ABSOLUTELY BANGING feature release from these guys
Hung Lee, Recruiting Brainfood
We launched a new feature at Metaview this week, that has blown a lot of minds! AI Filters will effectively turn your recruiting conversations into a massive dataset, which you can then explore using AI.
“Show me a list of all the recruiter screens for Senior Backend Engineers in the past 3 months where the candidate mentioned experience with LLMs”
Check out the launch video on LinkedIn here.
OpenAI is expected to release a 'materially better' GPT-5 for its chatbot mid-year
(Business Insider)
OpenAI is gearing up for the release of GPT-5, the next version of its generative AI model, following some performance issues with GPT-4.
Enterprise focus 🔎 Insider reports suggest that GPT-5 promises to be a substantial improvement, offering enhancements specifically tailored to enterprise customers' needs.
Release date 📅 While the exact release date remains uncertain, the model is currently undergoing rigorous training, safety testing, and "red teaming" to ensure reliability and address any potential issues.
Reducing bias when using AI to evaluate resumes
(Glen Cathey)
I came across this post, about recent studies by Bloomberg and Anthropic, which shed light on the challenge and potential solutions for bias in AI-powered resume evaluation. Here's the breakdown:
Bloomberg's Findings: Highlighted racial bias in ChatGPT's resume review capabilities.
Anthropic's Response: Conducted a study revealing that instructing AI models like Claude to disregard demographics or recognize the illegality of discrimination could significantly reduce bias, almost to zero.
Human vs. AI: This method of bias mitigation appears more effective with AI than humans, due to the persistent issue of unconscious bias in human evaluators.
See the LinkedIn post here.
The human side of generative AI: Creating a path to productivity
(McKinsey)
OpenAI's ChatGPT has sparked widespread interest in generative AI (gen AI) across the business sector, with a focus on leveraging this technology to boost productivity. However, McKinsey's research suggests a more nuanced approach is necessary for aligning talent with emerging gen AI roles, considering how these technologies redefine work experiences.
Key Takeaways:
Broad Talent Pool: Beyond technical specialists, a significant portion of employees in non-technical roles are utilizing gen AI for routine tasks, indicating a wide-reaching impact across job functions.
Job Satisfaction and Retention: High usage of gen AI among employees does not correlate directly with job satisfaction; factors like work flexibility and relational aspects rank higher than compensation for these individuals.
Demand for Higher-Level Skills: As gen AI takes over repetitive tasks, there's a growing need for employees to develop higher cognitive and social-emotional skills, rather than focusing solely on technical abilities.
People-Centric Jobs: Organizations have the opportunity to reframe jobs around human-centric activities, enhancing creativity and collaboration by integrating gen AI in a supportive role.
Strategy for Talent and AI Integration: Successful integration of gen AI into the workforce calls for a strategic approach that prioritizes human skills and job satisfaction, positioning companies to gain a competitive edge as gen AI adoption increases.
See the full report here.
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